Triple
T7795872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongu Nadu |
E180296
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Pollachi |
E618082
|
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: Pollachi | Statement: [Kongu Nadu, hasMajorCity, Pollachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pollachi Context triple: [Kongu Nadu, hasMajorCity, Pollachi]
-
A.
Pollachi
chosen
Pollachi is a town in the Coimbatore district of Tamil Nadu, India, known for its agriculture, markets, and proximity to scenic hill stations.
-
B.
Mulchén
Mulchén is a Chilean city located in the Biobío Region, known historically for its forestry-based economy and role in the country’s south-central development.
-
C.
Ischl
The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
-
D.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
E.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae94c41408190b73e37c0ff2c6628 |
completed | March 30, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13f866ac8190bca2b8477b62d7e4 |
completed | March 31, 2026, 12:23 a.m. |
Created at: March 30, 2026, 4:31 p.m.