Triple
T12050717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London City Airport DLR station |
E286906
|
entity |
| Predicate | code |
P1537
|
FINISHED |
| Object |
LCA
LCA is the station code for London City Airport DLR station, a Docklands Light Railway stop serving London City Airport in east London.
|
E961592
|
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: LCA | Statement: [London City Airport DLR station, code, LCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LCA Context triple: [London City Airport DLR station, code, LCA]
-
A.
LCA
LCA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Lucia.
-
B.
LCA
LCA is the common abbreviation for the Lutheran Church in America, a major Lutheran denomination that existed in the United States from 1962 until its merger into the Evangelical Lutheran Church in America in 1988.
-
C.
LCA
LCA is the IATA airport code for Larnaca International Airport, the main international gateway to Cyprus located near the city of Larnaca.
-
D.
LCT
LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
-
E.
LCS
LCS is the commonly used abbreviation for Lakefield College School, a Canadian independent boarding and day school known for its scenic campus and outdoor education focus.
- 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: LCA Triple: [London City Airport DLR station, code, LCA]
Generated description
LCA is the station code for London City Airport DLR station, a Docklands Light Railway stop serving London City Airport in east London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LCA Target entity description: LCA is the station code for London City Airport DLR station, a Docklands Light Railway stop serving London City Airport in east London.
-
A.
LCA
LCA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Lucia.
-
B.
LCA
LCA is the common abbreviation for the Lutheran Church in America, a major Lutheran denomination that existed in the United States from 1962 until its merger into the Evangelical Lutheran Church in America in 1988.
-
C.
LCA
LCA is the IATA airport code for Larnaca International Airport, the main international gateway to Cyprus located near the city of Larnaca.
-
D.
LCT
LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
-
E.
LCS
LCS is the commonly used abbreviation for Lakefield College School, a Canadian independent boarding and day school known for its scenic campus and outdoor education focus.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904227958819084dbd5eb2566c735 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dd140a48190844f64c228e6367a |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d95d4fc8190b5f4e460646bec2a |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.