Triple
T22503338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAP |
E556329
|
entity |
| Predicate | hasUnderlyingHeadquartersCity |
P60125
|
FINISHED |
| Object | Paris |
—
|
NE NERFINISHED |
How this triple was built (3 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: Paris | Statement: [CAP, hasUnderlyingHeadquartersCity, Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Context triple: [CAP, hasUnderlyingHeadquartersCity, Paris]
-
A.
Paris
chosen
Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
-
B.
Paris
Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
-
C.
Paris
Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
-
D.
Paris
Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
-
E.
Paris
Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingHeadquartersCity Context triple: [CAP, hasUnderlyingHeadquartersCity, Paris]
-
A.
hasHeadOfficeCity
chosen
Indicates that an organization’s main or central administrative office is located in a particular city.
-
B.
hasHigherHeadquarters
Indicates that one organizational unit serves as the superior or parent headquarters overseeing another unit.
-
C.
hasMemberHeadquartersCity
Indicates that a member entity has its headquarters located in a specified city.
-
D.
hasOrganizationHeadquarters
Indicates that an organization’s main administrative or operational center is located at a specific place.
-
E.
hasPublisherHeadquartersIn
Indicates that the main corporate headquarters of a publishing entity is located in a specified place.
- F. None of above.
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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5a01888190ba65a05616b63cbe |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:50 p.m.