Triple
T8549069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ettuthokai |
E202399
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Natrinai |
E202407
|
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: Natrinai | Statement: [Ettuthokai, contains, Natrinai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natrinai Context triple: [Ettuthokai, contains, Natrinai]
-
A.
Natrinai
chosen
Natrinai is an ancient Tamil poetic anthology of the Sangam era, comprising short love poems that explore themes of romance, nature, and human emotion.
-
B.
Trinetta
Trinetta is a character from the animated television series "Who Asked You?," known for her distinctive personality and role in the show's comedic narrative.
-
C.
Trizina
Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
-
D.
Nindra
Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
-
E.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc1bb5481909ddd3af564c24c0c |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:19 p.m.