Triple
T9864217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paco |
E239790
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Estero de Paco |
E826063
|
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: Estero de Paco | Statement: [Paco, hasLandmark, Estero de Paco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estero de Paco Context triple: [Paco, hasLandmark, Estero de Paco]
-
A.
Estero de Paco
chosen
Estero de Paco is a historic urban waterway in Manila, Philippines, that forms part of the city’s interconnected system of esteros and canals.
-
B.
Estero de Limantour
Estero de Limantour is a coastal estuary in California known for its rich wildlife habitat and scenic wetlands within the Point Reyes National Seashore.
-
C.
Estero
Estero is a village in Southwest Florida known for its residential communities, shopping centers, and proximity to the Gulf Coast.
-
D.
Estero Bay
Estero Bay is a coastal estuary on Florida’s Gulf Coast known for its rich marine ecosystems and as the historic homeland of the Calusa people.
-
E.
Laguna Miscanti
Laguna Miscanti is a high-altitude Andean lake in northern Chile famed for its deep blue waters, surrounding volcanoes, and striking desert landscape.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3b927d08190a45ff68de3954e8f |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eadd95ac81909a265db37b648df0 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:36 p.m.