Triple
T7545329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manosque |
E178386
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Porte Saunerie
Porte Saunerie is a historic city gate in Manosque, France, notable as one of the town’s principal medieval entrances.
|
E672283
|
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: Porte Saunerie | Statement: [Manosque, hasLandmark, Porte Saunerie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porte Saunerie Context triple: [Manosque, hasLandmark, Porte Saunerie]
-
A.
Porte Dauphine
Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
-
B.
Etaux
Etaux is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
C.
Porte Dorée
Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
-
D.
Porte des Forgerons
Porte des Forgerons is a historic fortified city gate in Molsheim, France, notable as a remnant of the town’s medieval defensive walls.
-
E.
Porte de l’Oulle
Porte de l’Oulle is a historic city gate in Avignon, France, forming part of the medieval fortifications that once protected the city.
- 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: Porte Saunerie Triple: [Manosque, hasLandmark, Porte Saunerie]
Generated description
Porte Saunerie is a historic city gate in Manosque, France, notable as one of the town’s principal medieval entrances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porte Saunerie Target entity description: Porte Saunerie is a historic city gate in Manosque, France, notable as one of the town’s principal medieval entrances.
-
A.
Porte Dauphine
Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
-
B.
Etaux
Etaux is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
C.
Porte Dorée
Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
-
D.
Porte des Forgerons
Porte des Forgerons is a historic fortified city gate in Molsheim, France, notable as a remnant of the town’s medieval defensive walls.
-
E.
Porte de l’Oulle
Porte de l’Oulle is a historic city gate in Avignon, France, forming part of the medieval fortifications that once protected the city.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c852da8c048190b2a0696f2e7b65c1 |
completed | March 28, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c853958b748190b4ecc9797389cc85 |
completed | March 28, 2026, 10:17 p.m. |
Created at: March 27, 2026, 3:48 p.m.