Triple
T11674286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śāriputra |
E277451
|
entity |
| Predicate | deathPlaceTraditionally |
P11156
|
FINISHED |
| Object | Nāla |
E940336
|
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: Nāla | Statement: [Śāriputra, deathPlaceTraditionally, Nāla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nāla Context triple: [Śāriputra, deathPlaceTraditionally, Nāla]
-
A.
Nāla
chosen
Nāla is an ancient Indian town traditionally regarded as the birthplace of the eminent Buddhist disciple Śāriputra.
-
B.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
C.
Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
-
D.
River Shiven
River Shiven is a small river in western Ireland that flows through County Galway before joining the River Suck.
-
E.
Nadi
Nadi is a major town on the western side of Fiji’s main island, known as a key tourism and transport hub for the country.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82f515408190b21f1c7b207a2f0d |
completed | April 27, 2026, 3:38 p.m. |
Created at: April 8, 2026, 9:40 p.m.