Triple
T22322860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BlueBream |
E551828
|
entity |
| Predicate | configurationLanguage |
P105385
|
FINISHED |
| Object |
ZCML
ZCML is an XML-based configuration language used in the Zope and BlueBream web application frameworks to declaratively define components, security, and application wiring.
|
E1531136
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ZCML | Statement: [BlueBream, configurationLanguage, ZCML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZCML Context triple: [BlueBream, configurationLanguage, ZCML]
-
A.
CZM
CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
-
B.
CZM
CZM is the IATA airport code for Cozumel International Airport, which serves the island of Cozumel in Mexico’s Caribbean region.
-
C.
ZC
ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
-
D.
Z3
Z3 is a high-performance theorem prover and SMT (Satisfiability Modulo Theories) solver developed by Microsoft Research, widely used in formal verification, program analysis, and automated reasoning.
-
E.
Zeta platform
Zeta platform is a General Motors-developed digital vehicle software and connectivity platform designed to power in-car services, data, and user experiences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZCML Triple: [BlueBream, configurationLanguage, ZCML]
Generated description
ZCML is an XML-based configuration language used in the Zope and BlueBream web application frameworks to declaratively define components, security, and application wiring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZCML Target entity description: ZCML is an XML-based configuration language used in the Zope and BlueBream web application frameworks to declaratively define components, security, and application wiring.
-
A.
CZM
CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
-
B.
CZM
CZM is the IATA airport code for Cozumel International Airport, which serves the island of Cozumel in Mexico’s Caribbean region.
-
C.
ZC
ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
-
D.
Z3
Z3 is a high-performance theorem prover and SMT (Satisfiability Modulo Theories) solver developed by Microsoft Research, widely used in formal verification, program analysis, and automated reasoning.
-
E.
Zeta platform
Zeta platform is a General Motors-developed digital vehicle software and connectivity platform designed to power in-car services, data, and user experiences.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15765a004819081dcdccbfd0efea7 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad51df24881908b67adcb29b62d7c |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad992b43c8190b0e409d64db83308 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0adac48bec8190989dd7c5e28d283a |
completed | May 18, 2026, 9:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.