Triple
T1931273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of California |
E40951
|
entity |
| Predicate | hasCityOnCoast |
P969
|
FINISHED |
| Object | Guaymas |
E187284
|
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: Guaymas | Statement: [Gulf of California, hasCityOnCoast, Guaymas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guaymas Context triple: [Gulf of California, hasCityOnCoast, Guaymas]
-
A.
Guaymas
chosen
Guaymas is a coastal city and major seaport on the Gulf of California in the Mexican state of Sonora.
-
B.
Ensenada
Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
-
C.
Manzanillo
Manzanillo is a major Pacific coastal city in western Mexico known for its busy commercial port and popular beach tourism.
-
D.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
-
E.
Buenavista
Buenavista is a major transit hub and neighborhood in Mexico City that serves as a key interchange point for metro, bus rapid transit, and commuter rail services.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb296910481908c9668518c09fdb0 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ac7cd1881908d9284370de529ce |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:35 p.m.