Triple
T10619576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanze |
E295672
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Huy |
E295665
|
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: Huy | Statement: [Wanze, locatedNear, Huy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huy Context triple: [Wanze, locatedNear, Huy]
-
A.
Huy
Huy is a hill range and forested area in Saxony-Anhalt, Germany, known for its natural landscapes and historical sites.
-
B.
Huy
chosen
Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
-
C.
Huy Lieu
Huy Lieu is the given name of Tran Huy Lieu, a notable Vietnamese historian, writer, and revolutionary figure.
-
D.
Huynh
Huynh is a Vietnamese surname commonly borne by individuals of Vietnamese heritage.
-
E.
Huan
Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
- 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_69d6df6fc47c8190b77b61a7fd223d65 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:21 p.m.