Triple
T11980422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABT |
E285141
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ABT |
E285141
|
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: ABT | Statement: [ABT, hasAbbreviation, ABT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABT Context triple: [ABT, hasAbbreviation, ABT]
-
A.
ABT
ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
-
B.
ABT
chosen
ABT is a leading American classical ballet company renowned for its extensive repertoire and international tours.
-
C.
ATB-EG
ATB-EG is a Dutch train protection and signalling system used to control train speeds and enhance safety on the national railway network.
-
D.
ABK
ABK is the station code for Bahnhof Bad Kleinen, a railway station in the town of Bad Kleinen in northern Germany.
-
E.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90395a8788190bfbb3506c29e3825 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47209bd088190bf4c7687c0a5eed6 |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.