Triple
T19244870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Den Dolder railway station |
E481223
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Dld
Dld is the official station code for Den Dolder railway station in the Netherlands.
|
E1365563
|
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: Dld | Statement: [Den Dolder railway station, hasStationCode, Dld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dld Context triple: [Den Dolder railway station, hasStationCode, Dld]
-
A.
DLD
DLD is the commonly used abbreviation for the Division of Lung Diseases, a research-focused branch typically associated with studying and addressing respiratory and pulmonary conditions.
-
B.
DLD
DLD is the Dubai Land Department, the government authority responsible for regulating, documenting, and overseeing real estate transactions and property registration in Dubai.
-
C.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
D.
PLD
PLD is a political party in Panama.
-
E.
LDDU
LDDU is the ICAO airport code for Dubrovnik Airport, the main international airport serving Dubrovnik, Croatia.
- 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: Dld Triple: [Den Dolder railway station, hasStationCode, Dld]
Generated description
Dld is the official station code for Den Dolder railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dld Target entity description: Dld is the official station code for Den Dolder railway station in the Netherlands.
-
A.
DLD
DLD is the commonly used abbreviation for the Division of Lung Diseases, a research-focused branch typically associated with studying and addressing respiratory and pulmonary conditions.
-
B.
DLD
DLD is the Dubai Land Department, the government authority responsible for regulating, documenting, and overseeing real estate transactions and property registration in Dubai.
-
C.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
D.
PLD
PLD is a political party in Panama.
-
E.
LDDU
LDDU is the ICAO airport code for Dubrovnik Airport, the main international airport serving Dubrovnik, Croatia.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf47820819081e8b6af852bb1dd |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705de9bb88190a2a7b3fed79e95de |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a070661a2888190a4f56a27ddd38cc7 |
completed | May 15, 2026, 11:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0706eb41d88190a77adaf469df30e1 |
completed | May 15, 2026, 11:43 a.m. |
Created at: April 10, 2026, 1:27 p.m.