Triple
T8844386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loiret |
E210466
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Olivet
Olivet is a commune in north-central France located in the Loiret department, known as a suburban area just south of Orléans.
|
E760260
|
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: Olivet | Statement: [Loiret, hasCity, Olivet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivet Context triple: [Loiret, hasCity, Olivet]
-
A.
Olivet
Olivet is one of the two historic funicular cars that operate on Los Angeles’s Angels Flight Railway.
-
B.
Dondas
Dondas is an alternative form or variant of the name Dundas, which is used for various places, people, and institutions, particularly in English-speaking regions.
-
C.
Hud
Hud is a prophet in Islamic tradition, known for being sent to guide the ancient people of ʿĀd away from idolatry and toward the worship of one God.
-
D.
Hud
Hud is a 1963 American Western drama film, directed by Martin Ritt and starring Paul Newman, acclaimed for its stark portrayal of moral conflict and its Oscar-winning performances.
-
E.
The Righteous
The Righteous is a film written by and starring Mark O'Brien, known as a brooding psychological horror drama with strong religious and moral themes.
- 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: Olivet Triple: [Loiret, hasCity, Olivet]
Generated description
Olivet is a commune in north-central France located in the Loiret department, known as a suburban area just south of Orléans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivet Target entity description: Olivet is a commune in north-central France located in the Loiret department, known as a suburban area just south of Orléans.
-
A.
Olivet
Olivet is one of the two historic funicular cars that operate on Los Angeles’s Angels Flight Railway.
-
B.
Dondas
Dondas is an alternative form or variant of the name Dundas, which is used for various places, people, and institutions, particularly in English-speaking regions.
-
C.
Hud
Hud is a prophet in Islamic tradition, known for being sent to guide the ancient people of ʿĀd away from idolatry and toward the worship of one God.
-
D.
Hud
Hud is a 1963 American Western drama film, directed by Martin Ritt and starring Paul Newman, acclaimed for its stark portrayal of moral conflict and its Oscar-winning performances.
-
E.
The Righteous
The Righteous is a film written by and starring Mark O'Brien, known as a brooding psychological horror drama with strong religious and moral themes.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc608a73c88190875409fef79ffc8a |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89ad0a3c8190a2bcf9a106138835 |
completed | April 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69cf8ac657a48190b01e3f0365105f3c |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b8849ec8190915fa087b1b46c18 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:48 p.m.