Triple
T4627793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouches-du-Rhône |
E101140
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Istres
Istres is a commune in southern France known for its proximity to the Étang de Berre lagoon and its significant military air base.
|
E457575
|
NE FINISHED |
How this triple was built (4 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: Istres | Statement: [Bouches-du-Rhône, contains, Istres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Istres Context triple: [Bouches-du-Rhône, contains, Istres]
-
A.
Istiaia
Istiaia is a notable town in northern Euboea, Greece, known historically as a local administrative and commercial center on the island.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Daura
Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
-
D.
Jetur
Jetur is one of the sons of Ishmael mentioned in the Hebrew Bible, traditionally regarded as an ancestor of an Arab tribal group.
-
E.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Istres Triple: [Bouches-du-Rhône, contains, Istres]
Generated description
Istres is a commune in southern France known for its proximity to the Étang de Berre lagoon and its significant military air base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Istres Target entity description: Istres is a commune in southern France known for its proximity to the Étang de Berre lagoon and its significant military air base.
-
A.
Istiaia
Istiaia is a notable town in northern Euboea, Greece, known historically as a local administrative and commercial center on the island.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Daura
Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
-
D.
Jetur
Jetur is one of the sons of Ishmael mentioned in the Hebrew Bible, traditionally regarded as an ancestor of an Arab tribal group.
-
E.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
- F. None of above. chosen
Provenance (5 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a2e9780819081add547c760abc9 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaafa6108190bad95e2a7e5a2ff8 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb56021081909b23d22770bf3c88 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbf15f1481908b76bcdd37ebd4ce |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.