Triple
T35539912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commune of Île de Sein |
E1027032
|
entity |
| Predicate | receivedHonorFrom |
P154736
|
FINISHED |
| Object | 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: France | Statement: [Commune of Île de Sein, receivedHonorFrom, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedHonorFrom Context triple: [Commune of Île de Sein, receivedHonorFrom, France]
-
A.
receivedAwardIn
Indicates that an entity was given or obtained a specific award in a particular place or context.
-
B.
grantedHonor
chosen
Indicates that one entity has formally bestowed an honor, award, or distinction upon another entity.
-
C.
honoredThrough
Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
-
D.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
E.
awardReceivedWith
Indicates that an entity received a specific award, optionally together with additional contextual details such as the work, role, or circumstances associated with that award.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.