Triple
T15022709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Gaillard |
E378125
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Petit Andely
Petit Andely is a picturesque riverside village in Normandy, France, known for its historic charm and scenic setting along the Seine.
|
E1134109
|
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: Petit Andely | Statement: [Château Gaillard, locatedNear, Petit Andely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petit Andely Context triple: [Château Gaillard, locatedNear, Petit Andely]
-
A.
Petit Bé fort
Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
-
B.
Petitgout
Petitgout is a surname most notably associated with individuals such as former NFL offensive lineman Luke Petitgout.
-
C.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
D.
Framji Petit
Framji Petit was a prominent member of the influential Petit family, known for their role in Bombay’s industrial, philanthropic, and social life during the British colonial era.
-
E.
Chapotel
Chapotel is a French surname associated with individuals such as Rose Chapotel.
- 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: Petit Andely Triple: [Château Gaillard, locatedNear, Petit Andely]
Generated description
Petit Andely is a picturesque riverside village in Normandy, France, known for its historic charm and scenic setting along the Seine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Petit Andely Target entity description: Petit Andely is a picturesque riverside village in Normandy, France, known for its historic charm and scenic setting along the Seine.
-
A.
Petit Bé fort
Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
-
B.
Petitgout
Petitgout is a surname most notably associated with individuals such as former NFL offensive lineman Luke Petitgout.
-
C.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
D.
Framji Petit
Framji Petit was a prominent member of the influential Petit family, known for their role in Bombay’s industrial, philanthropic, and social life during the British colonial era.
-
E.
Chapotel
Chapotel is a French surname associated with individuals such as Rose Chapotel.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded765462c819097f331c9b39c80e3 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd2c96c8190a0368678584aaa16 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea0c35b088190abf578ed016753cd |
completed | May 9, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea16b16b8819080b31203189f8cfe |
completed | May 9, 2026, 2:52 a.m. |
Created at: April 10, 2026, 2:56 a.m.