Triple
T15162585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helena Petrovna Blavatsky |
E362254
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Adyar |
E336767
|
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: Adyar | Statement: [Helena Petrovna Blavatsky, residence, Adyar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adyar Context triple: [Helena Petrovna Blavatsky, residence, Adyar]
-
A.
Adyar
chosen
Adyar is a prominent neighborhood in Chennai, Tamil Nadu, known as an educational and residential hub that hosts major institutions and research centers.
-
B.
Vandalur
Vandalur is a suburban area on the outskirts of Chennai, India, best known for housing the large Arignar Anna Zoological Park.
-
C.
Velankanni
Velankanni is a coastal town in Tamil Nadu, India, renowned as a major Christian pilgrimage center centered around the Basilica of Our Lady of Good Health.
-
D.
Ulsoor
Ulsoor is a historic neighborhood in central Bengaluru, India, known for its large lake, temples, and dense residential and commercial areas.
-
E.
Poondi
Poondi is a small village in Tamil Nadu, India, known primarily as a base point for treks and pilgrimages to the nearby Vellingiri Hills.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffc94e48190844e226c245a9ce3 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:08 a.m.