Triple
T12642175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambeth North Underground station |
E301924
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LBN
LBN is the station code for Lambeth North Underground station on the London Underground network.
|
E996332
|
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: LBN | Statement: [Lambeth North Underground station, hasStationCode, LBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LBN Context triple: [Lambeth North Underground station, hasStationCode, LBN]
-
A.
LBN
LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
-
B.
LBN 25
LBN 25 is a catalog designation for the bright emission and reflection nebula complex better known as the Lagoon Nebula in the constellation Sagittarius.
-
C.
LBU
LBU is the IATA airport code for Labuan Airport, which serves the island of Labuan in Malaysia.
-
D.
LB
LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
-
E.
LB
LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
- 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: LBN Triple: [Lambeth North Underground station, hasStationCode, LBN]
Generated description
LBN is the station code for Lambeth North Underground station on the London Underground network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LBN Target entity description: LBN is the station code for Lambeth North Underground station on the London Underground network.
-
A.
LBN
LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
-
B.
LBN 25
LBN 25 is a catalog designation for the bright emission and reflection nebula complex better known as the Lagoon Nebula in the constellation Sagittarius.
-
C.
LBU
LBU is the IATA airport code for Labuan Airport, which serves the island of Labuan in Malaysia.
-
D.
LB
LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
-
E.
LB
LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614ae6ac8190b42acbf2b0331fda |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687770388190b4777885dae8a38f |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 9, 2026, 5:17 p.m.