Triple
T13638693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Manzanillo |
E325916
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | city of Manzanillo |
E181815
|
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: city of Manzanillo | Statement: [Port of Manzanillo, near, city of Manzanillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Manzanillo Context triple: [Port of Manzanillo, near, city of Manzanillo]
-
A.
Manzanillo Municipality
Manzanillo Municipality is a coastal administrative region in the Mexican state of Colima, known for its major Pacific port and tourism.
-
B.
Manzanillo
Manzanillo is a coastal city in southeastern Cuba known as an important port and commercial center on the Gulf of Guacanayabo.
-
C.
Manzanillo
chosen
Manzanillo is a major Pacific coastal city in western Mexico known for its busy commercial port and popular beach tourism.
-
D.
La Carlota City
La Carlota City is a component city in Negros Occidental, Philippines, known for its proximity to Mount Kanlaon and its agricultural and sugarcane-based economy.
-
E.
city of Huimanguillo
The city of Huimanguillo is the main urban center and administrative seat of the Huimanguillo municipality in the state of Tabasco, Mexico.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a84cc4819098a975e33250c89b |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943306f08190b3a4c44e5b22db0a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:51 p.m.