Triple
T30518367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École française d’Extrême-Orient site |
E776627
|
entity |
| Predicate | formerBaseOf |
P198552
|
FINISHED |
| Object | École française d’Extrême-Orient |
—
|
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: École française d’Extrême-Orient | Statement: [École française d’Extrême-Orient site, formerBaseOf, École française d’Extrême-Orient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerBaseOf Context triple: [École française d’Extrême-Orient site, formerBaseOf, École française d’Extrême-Orient]
-
A.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
B.
fatherBasedOn
Indicates a paternal relationship inferred from indirect or derived evidence rather than directly asserted.
-
C.
associatedBase
Indicates a relationship where one entity is linked or connected to a corresponding base entity that it depends on or is derived from.
-
D.
usesBase
Indicates that one entity relies on or operates using another entity as its foundational resource, framework, or reference point.
-
E.
former
Indicates that an entity previously held a role, status, or relationship but no longer does so in the present.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fef2db323c8190821bda53f22a42be |
completed | May 9, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69fef21d63c88190abf6a99b59b3c655 |
completed | May 9, 2026, 8:36 a.m. |
| PDg | Predicate description generation | batch_69fef2da7d388190a5712a5094741f18 |
completed | May 9, 2026, 8:39 a.m. |
Created at: April 29, 2026, 8:16 p.m.