Triple
T16114143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richelieu, Indre-et-Loire |
E390959
|
entity |
| Predicate | hasMarketHall |
P121526
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Richelieu, Indre-et-Loire, hasMarketHall, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketHall Context triple: [Richelieu, Indre-et-Loire, hasMarketHall, true]
-
A.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
B.
isInMarketTown
Indicates that an entity is located within or belongs to a town that functions as a local commercial or trading center.
-
C.
hasGuildhall
Indicates that an entity possesses, hosts, or is associated with a guildhall as a dedicated building or facility.
-
D.
hasChristmasMarket
Indicates that a place or entity hosts or features a Christmas market.
-
E.
hasAuctionHouse
Indicates that one entity is associated with, operated by, or conducted through a particular auction house.
- F. None of above. chosen
Provenance (4 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20169ce488190bbc814f23a3b7547 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.