Triple
T3215470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place de l'Étoile |
E67383
|
entity |
| Predicate | formerOfficialNameUntil |
P21988
|
FINISHED |
| Object | Place de l'Étoile, before 1970 |
—
|
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: Place de l'Étoile, before 1970 | Statement: [Place de l'Étoile, formerOfficialNameUntil, Place de l'Étoile, before 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerOfficialNameUntil Context triple: [Place de l'Étoile, formerOfficialNameUntil, Place de l'Étoile, before 1970]
-
A.
currentOfficialNameSince
Indicates the date or time from which an entity has borne its current official name.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
officialNameDuringPeriod
chosen
Indicates that an entity had a specific official name that was valid only during a particular time period.
-
D.
modernNameOfficial
Indicates that an entity’s current, formally recognized name is the one specified.
-
E.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab085a408190af9fb40acca31a5f |
completed | March 8, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.