Triple
T8044136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCF |
E187506
|
entity |
| Predicate | foundedAt |
P4025
|
FINISHED |
| Object | Tours, France |
E62660
|
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: Tours, France | Statement: [PCF, foundedAt, Tours, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tours, France Context triple: [PCF, foundedAt, Tours, France]
-
A.
Tours, France
chosen
Tours, France is a historic city in the Loire Valley known for its medieval old town, Renaissance architecture, and role as a cultural and economic center of central France.
-
B.
Tours
Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
-
C.
Tour Bretagne
Tour Bretagne is a prominent high-rise office tower and observation point dominating the skyline of Nantes, France.
-
D.
French Wikivoyage
French Wikivoyage is the French-language edition of the collaborative, free travel guide project that provides practical information and tips for travelers.
-
E.
Impressions de France
Impressions de France is a long-running panoramic film attraction at EPCOT that showcases French landscapes, culture, and classical music.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4b5e0c819092949af0f995b850 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc570cfad08190a8ed35ef2a47f497 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:23 p.m.