Triple
T13976968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kural literature |
E336210
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Porul |
E202416
|
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: Porul | Statement: [Kural literature, relatedConcept, Porul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porul Context triple: [Kural literature, relatedConcept, Porul]
-
A.
Porul
chosen
Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
-
B.
Paravaqar
Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
-
C.
Piro
Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
-
D.
Piro
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e90dc148190b38e339aac0de484 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e1eb108190b3c0739b94556172 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.