Triple
T20143261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zainuddin Abdul Madjid International Airport |
E491227
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Praya |
—
|
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: Praya | Statement: [Zainuddin Abdul Madjid International Airport, locatedNear, Praya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praya Context triple: [Zainuddin Abdul Madjid International Airport, locatedNear, Praya]
-
A.
Praya
chosen
Praya is a town on the island of Lombok in Indonesia that serves as the capital of Central Lombok Regency and a regional administrative and transportation hub.
-
B.
Yaudheya
Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
-
C.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
D.
Tusita
Tusita is a heavenly realm in Buddhist cosmology where future Buddhas, including Maitreya, reside before their final rebirth.
-
E.
Aruni
Aruni is a revered Vedic sage known for his wisdom and role as a teacher in ancient Indian scriptures.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679cbc388190bb2b444a69a597a6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.