Triple
T8614726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vandiyur Mariamman Teppakulam |
E204006
|
entity |
| Predicate | distanceFromMeenakshiAmmanTemple |
P79070
|
FINISHED |
| Object | about 5 km |
—
|
LITERAL 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: about 5 km | Statement: [Vandiyur Mariamman Teppakulam, distanceFromMeenakshiAmmanTemple, about 5 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMeenakshiAmmanTemple Context triple: [Vandiyur Mariamman Teppakulam, distanceFromMeenakshiAmmanTemple, about 5 km]
-
A.
distanceFromTirupati
Indicates the measured distance between a given location and Tirupati.
-
B.
distanceFromAgra
Indicates the spatial distance between a given entity or location and the city of Agra.
-
C.
distanceFromMadurai
chosen
Indicates the spatial distance between a given entity and the location of Madurai.
-
D.
distanceFromChennai
Indicates the spatial distance between a given entity or location and the city of Chennai.
-
E.
distanceFromVaranasi
Indicates the measured or specified distance between a given entity or location and the city of Varanasi.
- F. None of above.
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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47020748819090f658c115c1a7b9 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.