Triple
T7854010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hualpén |
E182125
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Penco |
E422377
|
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: Penco | Statement: [Hualpén, locatedNear, Penco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penco Context triple: [Hualpén, locatedNear, Penco]
-
A.
Penco
chosen
Penco is a coastal Chilean city and commune in the Biobío Region, historically known as the original site of the city of Concepción.
-
B.
Borrisokane
Borrisokane is a small rural town in northern County Tipperary, Ireland, known for its agricultural surroundings and traditional Irish community character.
-
C.
Pencoed
Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
-
D.
Blaina
Blaina is a small former coal-mining town in the county borough of Blaenau Gwent in South Wales.
-
E.
Blencogo
Blencogo is a small rural village in Cumbria, England, known for its agricultural surroundings and traditional Cumbrian character.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b1e9e808190a0eb2dea5288e743 |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:51 p.m.