Triple
T16078159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapote River |
E390028
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Zapote |
E162585
|
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: Zapote | Statement: [Zapote River, flowsThrough, Zapote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zapote Context triple: [Zapote River, flowsThrough, Zapote]
-
A.
Zapote
chosen
Zapote is a district of San José, Costa Rica, known for housing important government buildings and urban residential areas.
-
B.
Zapota
Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
-
C.
Topolobampo
Topolobampo is a major Pacific coast port city in northwestern Mexico, serving as an important hub for maritime trade and ferry connections in the state of Sinaloa.
-
D.
Apizaco
Apizaco is a city in the Mexican state of Tlaxcala known as an important regional commercial and transportation hub.
-
E.
Mazaca
Mazaca was an ancient city in central Anatolia that later became known as Caesarea in Cappadocia, an important regional center in Hellenistic and Roman times.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c401a881908fcb0b753d2dfc8a |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48907148190ab04520717141788 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.