Triple
T15256972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Ourique |
E364671
|
entity |
| Predicate | place |
P373
|
FINISHED |
| Object | Ourique |
E199966
|
NE FINISHED |
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: Ourique | Statement: [Battle of Ourique, place, Ourique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ourique Context triple: [Battle of Ourique, place, Ourique]
-
A.
Ourique
chosen
Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
-
B.
Mériel
Mériel is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
C.
Welliver
Welliver is the surname of American actor Titus Welliver, best known for his role as the title character in the television series "Bosch."
-
D.
Sentier
Sentier is a Paris Métro station in the 2nd arrondissement, serving the historic textile and tech district near Rue Montorgueil.
-
E.
Perenaar
A Perenaar is a person who originates from or is a resident of the place called Peer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084b97908190b3bf7ea7bd75bdc0 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f7bd2081909c003deb3a692f18 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.