Triple
T23860702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GFAP |
E592440
|
entity |
| Predicate | formallySignedAt |
P65395
|
FINISHED |
| Object | Paris, France |
—
|
NE NERFINISHED |
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: Paris, France | Statement: [GFAP, formallySignedAt, Paris, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formallySignedAt Context triple: [GFAP, formallySignedAt, Paris, France]
-
A.
agreementSignedAt
chosen
Indicates the specific time and/or place at which an agreement was formally signed.
-
B.
dateSigned
Indicates the specific date on which an agreement, document, or contract was formally signed.
-
C.
formalizationDate
Indicates the date on which something is officially established, formalized, or brought into an official or legally recognized form.
-
D.
agreementSignedBy
Indicates that a particular agreement has been formally signed or executed by a specified party.
-
E.
signedTo
Indicates that one entity has formally entered into a contract or agreement with another, typically for representation, employment, or services.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cadf91948190bed71376e6639294 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:12 p.m.