Triple
T23908783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITER project |
E601277
|
entity |
| Predicate | siteLocatedAt |
P40
|
FINISHED |
| Object |
Cadarache, France
Cadarache, France is a major nuclear research center in southern France, best known as the host site of the international ITER fusion energy project.
|
E1610792
|
NE FINISHED |
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: Cadarache, France | Statement: [ITER project, siteLocatedAt, Cadarache, France]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cadarache, France Triple: [ITER project, siteLocatedAt, Cadarache, France]
Generated description
Cadarache, France is a major nuclear research center in southern France, best known as the host site of the international ITER fusion energy project.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siteLocatedAt Context triple: [ITER project, siteLocatedAt, Cadarache, France]
-
A.
organizationLocatedAt
Indicates that an organization is situated or based at a specific geographic location or address.
-
B.
oftenLocatedAt
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
-
C.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
D.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
-
E.
propertyLocation
Indicates the geographical place or address where a property is situated or found.
- F. None of above.
Provenance (6 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce92e7688190ac421570e0d6a942 |
completed | April 29, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f7635085c81908522e05182cacf75 |
completed | May 21, 2026, 9:16 p.m. |
| NEDg | Description generation | batch_6a0f76f2b5248190b92095f8003001be |
completed | May 21, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f78df8c9c81908eb3912b212862f9 |
completed | May 21, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:37 p.m.