Triple
T6838680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramparts of Avignon |
E157514
|
entity |
| Predicate | hasGate |
P4365
|
FINISHED |
| Object |
Porte Thiers
Porte Thiers is a historic city gate integrated into the medieval ramparts of Avignon in southern France.
|
E630462
|
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 Thiers | Statement: [Ramparts of Avignon, hasGate, Porte Thiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porte Thiers Context triple: [Ramparts of Avignon, hasGate, Porte Thiers]
-
A.
Porte de la République
Porte de la République is a historic city gate in Avignon, France, forming part of the town’s medieval fortifications.
-
B.
Porte Guillaume
Porte Guillaume is a historic triumphal arch in Dijon, France, serving as a prominent architectural symbol of the city.
-
C.
Porte du Soubeyran
Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern France.
-
D.
Porte Saint-Georges
Porte Saint-Georges is a historic city gate in Vendôme, France, notable as a remnant of the town’s medieval fortifications.
-
E.
Porte de Vincennes
Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
- 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 Thiers Triple: [Ramparts of Avignon, hasGate, Porte Thiers]
Generated description
Porte Thiers is a historic city gate integrated into the medieval ramparts of Avignon in southern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porte Thiers Target entity description: Porte Thiers is a historic city gate integrated into the medieval ramparts of Avignon in southern France.
-
A.
Porte de la République
Porte de la République is a historic city gate in Avignon, France, forming part of the town’s medieval fortifications.
-
B.
Porte Guillaume
Porte Guillaume is a historic triumphal arch in Dijon, France, serving as a prominent architectural symbol of the city.
-
C.
Porte du Soubeyran
Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern France.
-
D.
Porte Saint-Georges
Porte Saint-Georges is a historic city gate in Vendôme, France, notable as a remnant of the town’s medieval fortifications.
-
E.
Porte de Vincennes
Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67ee1c88190b82a9b6b3d1e3875 |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75832278c8190b27ee9931f94a15e |
completed | March 28, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69c759fa97348190bd0cec279878e9d6 |
completed | March 28, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a253b80819080f4566abf377186 |
completed | March 28, 2026, 4:33 a.m. |
Created at: March 27, 2026, 2:19 p.m.