Triple
T22105185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pallekele International Cricket Stadium |
E546267
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Pallekele |
—
|
NE NERFINISHED |
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: Pallekele | Statement: [Pallekele International Cricket Stadium, locatedIn, Pallekele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pallekele Context triple: [Pallekele International Cricket Stadium, locatedIn, Pallekele]
-
A.
Pallekele
chosen
Pallekele is a town in Sri Lanka best known for its international cricket stadium, which hosted matches during the 2011 Cricket World Cup.
-
B.
Ruhuna
Ruhuna is an ancient historical region in southern Sri Lanka, known for its early Sinhalese kingdoms and rich archaeological heritage.
-
C.
Koggala
Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
-
D.
Seethawaka
Seethawaka is a historically significant town and administrative area in Sri Lanka’s Western Province, known for its role in the 16th-century Seethawaka kingdom and its lush, hilly landscape.
-
E.
Nagamangala
Nagamangala is a town in the Indian state of Karnataka known for its temples and role as a local commercial and administrative center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12918d7a4819080283c287a253c9f |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.