Triple
T15727833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecate Creek |
E381261
|
entity |
| Predicate | hasSpanishName |
P12773
|
FINISHED |
| Object | Arroyo Tecate |
E381261
|
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: Arroyo Tecate | Statement: [Tecate Creek, hasSpanishName, Arroyo Tecate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arroyo Tecate Context triple: [Tecate Creek, hasSpanishName, Arroyo Tecate]
-
A.
Tecate Creek
chosen
Tecate Creek is a small stream in the U.S.–Mexico border region that flows through Tecate, California, and into Baja California, Mexico.
-
B.
San Carlos River
The San Carlos River is a tributary waterway in Arizona that flows through the San Carlos Apache Indian Reservation before joining the Gila River.
-
C.
Acaponeta River
The Acaponeta River is a river in western Mexico that flows through the state of Nayarit before emptying into the Pacific Ocean.
-
D.
Arroyo Mocho
Arroyo Mocho is a stream in Alameda County, California, that flows through the Livermore Valley and contributes to the region’s watershed and groundwater recharge.
-
E.
Río Acaponeta
Río Acaponeta is a river in western Mexico that flows through the state of Nayarit before emptying into the Gulf of California.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb4cc0081909efe330339474017 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9981e0d081909617b5d686905d3a |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 4:46 a.m.