Triple
T21537347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langelier |
E531382
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
LAN
LAN is the station code for Langelier, a Montreal Metro station on the Green Line in Montreal, Quebec, Canada.
|
E1489406
|
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: LAN | Statement: [Langelier, stationCode, LAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAN Context triple: [Langelier, stationCode, LAN]
-
A.
LAN
LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
-
B.
LAN
LAN is the three-letter IATA airport code for Capital Region International Airport serving the Lansing, Michigan area.
-
C.
LAN
LAN is the commonly used abbreviation for Lancashire Cricket Club, a historic English county cricket team based in Manchester.
-
D.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
E.
LAN.SN
LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
- 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: LAN Triple: [Langelier, stationCode, LAN]
Generated description
LAN is the station code for Langelier, a Montreal Metro station on the Green Line in Montreal, Quebec, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LAN Target entity description: LAN is the station code for Langelier, a Montreal Metro station on the Green Line in Montreal, Quebec, Canada.
-
A.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
B.
LAN
LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
-
C.
LAN
LAN is the three-letter IATA airport code for Capital Region International Airport serving the Lansing, Michigan area.
-
D.
LAN
LAN is the commonly used abbreviation for Lancashire Cricket Club, a historic English county cricket team based in Manchester.
-
E.
LAN.SN
LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0fdf448190b47ac7c28904f86b |
completed | April 26, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e835fd08819098fde7600d5c91d6 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09e909a4888190aa1d704eb157d86d |
completed | May 17, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ea119664819081b072c892fc0471 |
completed | May 17, 2026, 4:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.