Triple
T10931055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacoor |
E258205
|
entity |
| Predicate | hasTransportationLink |
P1298
|
FINISHED |
| Object |
Cavitex
Cavitex is a major expressway in the Philippines that connects Metro Manila to nearby provinces in Cavite, easing traffic and facilitating regional travel and commerce.
|
E893424
|
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: Cavitex | Statement: [Bacoor, hasTransportationLink, Cavitex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavitex Context triple: [Bacoor, hasTransportationLink, Cavitex]
-
A.
Ivoclar Vivadent
Ivoclar Vivadent is a global dental materials and technology company known for producing products and systems for restorative, prosthetic, and aesthetic dentistry.
-
B.
Crest
Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
-
C.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
-
D.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
-
E.
Muldental
Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
- 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: Cavitex Triple: [Bacoor, hasTransportationLink, Cavitex]
Generated description
Cavitex is a major expressway in the Philippines that connects Metro Manila to nearby provinces in Cavite, easing traffic and facilitating regional travel and commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cavitex Target entity description: Cavitex is a major expressway in the Philippines that connects Metro Manila to nearby provinces in Cavite, easing traffic and facilitating regional travel and commerce.
-
A.
Ivoclar Vivadent
Ivoclar Vivadent is a global dental materials and technology company known for producing products and systems for restorative, prosthetic, and aesthetic dentistry.
-
B.
Crest
Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
-
C.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
-
D.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
-
E.
Muldental
Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770a062f481908beb76c6dbaeb6a6 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2175711d4819088f93bdf64ba4d3f |
completed | April 17, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69e21e54e22881908726f088643edfd2 |
completed | April 17, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21f1134d0819082fcc735da61d347 |
completed | April 17, 2026, 11:52 a.m. |
Created at: April 8, 2026, 9:23 p.m.