Triple
T12253608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldershot railway station |
E292039
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | AHT |
E698023
|
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: AHT | Statement: [Aldershot railway station, stationCode, AHT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AHT Context triple: [Aldershot railway station, stationCode, AHT]
-
A.
AHT
chosen
AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
-
B.
AHA
AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
-
C.
AHA
AHA is a leading U.S. nonprofit organization dedicated to fighting cardiovascular diseases and promoting heart health through research, education, and public advocacy.
-
D.
Ahe
Ahe is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian way of life.
-
E.
AH
AH is a German vehicle registration code associated with the town of Alstätte.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc849308190b6ff416f8b4f01e8 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abdc5988190a19104385f54fb06 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.