Triple
T14612935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batroun District |
E343004
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Rachana |
E1111244
|
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: Rachana | Statement: [Batroun District, containsVillage, Rachana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachana Context triple: [Batroun District, containsVillage, Rachana]
-
A.
Rachana
chosen
Rachana is a village in Lebanon’s Batroun District, known for its traditional architecture and cultural heritage.
-
B.
Sucharita
Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
-
C.
Divya Saasha
Divya Saasha is the daughter of popular Indian actor Vijay, known for largely staying out of the public spotlight despite her father's fame.
-
D.
Kavya
Kavya is a classical Sanskrit poetic and literary style characterized by ornate language, rich imagery, and refined aesthetic expression.
-
E.
Savyasachi
Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cbcf08819084313bf28f0bb3e1 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.