Triple
T1268837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N125 road |
E15663
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Castro Marim |
E12705
|
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: Castro Marim | Statement: [N125 road, connects, Castro Marim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castro Marim Context triple: [N125 road, connects, Castro Marim]
-
A.
Castro Marim
chosen
Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
-
B.
Cervera
Cervera is a Spanish surname historically associated with notable figures such as Admiral Pascual Cervera y Topete.
-
C.
Spínola
Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
-
D.
Puerto Casado
Puerto Casado is a small river port town in northern Paraguay known historically for its tannin industry and its strategic location on the Paraguay River.
-
E.
Masbateño
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c03aaa8c8190bacb7de5a38329da |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99898bdc8190bbbe28083b4a548b |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.