Triple
T37570749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borgou Department |
E934680
|
entity |
| Predicate | hasMajorMarketTown |
P130562
|
FINISHED |
| Object | Parakou |
E934677
|
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: Parakou | Statement: [Borgou Department, hasMajorMarketTown, Parakou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorMarketTown Context triple: [Borgou Department, hasMajorMarketTown, Parakou]
-
A.
hasMajorMarket
Indicates that an entity has a primary or most significant market in a specified location or segment.
-
B.
hasMarketTownStatus
Indicates that a settlement holds the official legal or historical status of being recognized as a market town.
-
C.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
D.
hasMajorCommercialCentre
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
E.
containsMarketTown
chosen
Indicates that one region or area includes within its boundaries a town that functions as a market center.
- F. None of above.
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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40e06531e881909ab732d20977117a |
completed | June 28, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.