Triple
T14433683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andecavorum |
E357898
|
entity |
| Predicate | predecessorOf |
P97
|
FINISHED |
| Object | modern Angers |
E71733
|
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: modern Angers | Statement: [Andecavorum, predecessorOf, modern Angers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: modern Angers Context triple: [Andecavorum, predecessorOf, modern Angers]
-
A.
Angers
chosen
Angers is a historic city in western France known for its medieval architecture, including the Château d'Angers and its famous Apocalypse Tapestry.
-
B.
Saint-Jean-d’Angély
Saint-Jean-d’Angély is a historic market town in southwestern France, noted for its medieval architecture and former royal abbey on the pilgrimage route to Santiago de Compostela.
-
C.
Angeville
Angeville is a small commune in the Tarn-et-Garonne department in southern France.
-
D.
city of Tours
The city of Tours is a historic city in central France, known for its medieval old town, role as a gateway to the Loire Valley châteaux, and rich cultural heritage.
-
E.
Archamps
Archamps is a commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd5b1d08190a89e6f004a94b361 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.