Triple
T18318885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adayar |
E438817
|
entity |
| Predicate | dam |
P8736
|
FINISHED |
| Object | Anna Salai |
—
|
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: Anna Salai | Statement: [Adayar, dam, Anna Salai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Salai Context triple: [Adayar, dam, Anna Salai]
-
A.
Anna Salai
chosen
Anna Salai is a major arterial road in Chennai, India, named in honor of the prominent Dravidian leader and former Tamil Nadu Chief Minister C. N. Annadurai.
-
B.
Chandra Leelavathi
Chandra Leelavathi is known as the wife of acclaimed Indian film director Bharathiraja.
-
C.
Lalita
Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
-
D.
Sunethra
Sunethra is a Sri Lankan philanthropist and social activist from the prominent Bandaranaike political family.
-
E.
Alamelu
Alamelu is a South Indian feminine given name, commonly used in Tamil and Telugu communities and often associated with Hindu cultural and religious traditions.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.