Triple
T9386521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gironde |
E225917
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Talence |
E251261
|
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: Talence | Statement: [Gironde, hasMajorCity, Talence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talence Context triple: [Gironde, hasMajorCity, Talence]
-
A.
Talence
chosen
Talence is a suburban commune in southwestern France, located near Bordeaux and known for hosting part of the University of Bordeaux campus.
-
B.
Thalle
Thalle is a small settlement located within the remote Shigar Valley in the mountainous Gilgit-Baltistan region of northern Pakistan.
-
C.
Talbach
Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
-
D.
Troizen
Troizen is an ancient town in the northeastern Peloponnese of Greece, traditionally associated with the myths of Theseus and located within the region of Argolid.
-
E.
Nattheim
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d3964c8190b0353f56df755db8 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100eb108c8190add5bacfea1f800a |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:45 p.m.