Triple
T14589384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph François Dupleix |
E342403
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Landrecies
Landrecies is a small commune in northern France, historically part of the fortified border region of French Flanders.
|
E1145768
|
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: Landrecies | Statement: [Joseph François Dupleix, birthPlace, Landrecies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landrecies Context triple: [Joseph François Dupleix, birthPlace, Landrecies]
-
A.
Doullens
Doullens is a historic commune in northern France known for its medieval citadel and role as a strategic military and administrative center in the Somme department.
-
B.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
C.
Pont-Audemer
Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
-
D.
Eperlecques
Eperlecques is a commune in northern France best known for the nearby World War II V-2 rocket bunker known as the Blockhaus d'Éperlecques.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- 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: Landrecies Triple: [Joseph François Dupleix, birthPlace, Landrecies]
Generated description
Landrecies is a small commune in northern France, historically part of the fortified border region of French Flanders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Landrecies Target entity description: Landrecies is a small commune in northern France, historically part of the fortified border region of French Flanders.
-
A.
Doullens
Doullens is a historic commune in northern France known for its medieval citadel and role as a strategic military and administrative center in the Somme department.
-
B.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
C.
Pont-Audemer
Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
-
D.
Eperlecques
Eperlecques is a commune in northern France best known for the nearby World War II V-2 rocket bunker known as the Blockhaus d'Éperlecques.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1bb1c48190b5d2b4167c756abf |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf39eaac8190bddad85be5e6f274 |
completed | May 9, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee00f3b248190b338f1bb5160a9b2 |
completed | May 9, 2026, 7:19 a.m. |
Created at: April 10, 2026, 1:24 a.m.