Triple
T12378091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Nicolas (Liège) |
E295675
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Ans |
E295668
|
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: Ans | Statement: [Saint-Nicolas (Liège), sharesBorderWith, Ans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ans Context triple: [Saint-Nicolas (Liège), sharesBorderWith, Ans]
-
A.
Ans
chosen
Ans is a municipality in the Walloon region of Belgium, located just northwest of the city of Liège and forming part of its suburban area.
-
B.
ANS
ANS is a professional organization in the United States dedicated to advancing nuclear science and technology through research, standards, and education.
-
C.
The Answer
The Answer is the famous nickname of NBA Hall of Famer Allen Iverson, celebrated for his electrifying scoring ability and cultural impact on basketball.
-
D.
2 ANS
2 ANS was a Royal Air Force training unit focused on air navigation instruction for aircrew.
-
E.
AN
AN is the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved Caribbean territory of the Netherlands Antilles.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac3c9f081909cd55f966ab6b465 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.