Triple
T13931461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free TC |
E335001
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | LA |
unclear NED1
|
NE FINISHED |
How this triple was built (2 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: LA | Statement: [Free TC, hasTrack, LA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LA Context triple: [Free TC, hasTrack, LA]
-
A.
LA
LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
-
B.
LA
LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
-
C.
LA
LA is the vehicle registration code used for the district of Landeck in the Austrian state of Tyrol.
-
D.
LA
LA is the commonly used abbreviation for the Legislative Assembly of Western Australia, the lower house of the state’s bicameral Parliament.
-
E.
LA
LA is the official two-letter U.S. Postal Service abbreviation for the state of Louisiana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c67e2c8190a14b273af0d93b0a |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.