Triple
T33124371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minor Basilica of San Sebastian |
E847681
|
entity |
| Predicate | steelFabricator |
P175600
|
FINISHED |
| Object | Societe Anonyme des Enterprises de Travaux Publiques |
—
|
NE NERFINISHED |
How this triple was built (2 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: Societe Anonyme des Enterprises de Travaux Publiques | Statement: [Minor Basilica of San Sebastian, steelFabricator, Societe Anonyme des Enterprises de Travaux Publiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steelFabricator Context triple: [Minor Basilica of San Sebastian, steelFabricator, Societe Anonyme des Enterprises de Travaux Publiques]
-
A.
coFabricator
Indicates that two or more entities jointly fabricate, construct, or produce something together.
-
B.
metalworkingProduct
Indicates that one entity is a product or outcome resulting from the metalworking activities or processes performed on another entity.
-
C.
brassHeavyProduction
Indicates a production process or activity characterized by the large-scale or intensive manufacture of brass.
-
D.
steelworksClosed
Indicates that a steelworks facility has ceased operations or been shut down.
-
E.
allMetalConstruction
Indicates that something is constructed entirely or almost entirely from metal components.
- F. None of above. chosen
Provenance (4 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d71dc75c8190886ea8c2ab87b323 |
completed | May 3, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d30b9e048190b0982e30b7fdfa3c |
completed | May 3, 2026, 4:46 a.m. |
Created at: May 1, 2026, 1:27 a.m.