Triple
T34743733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mokama |
E1001574
|
entity |
| Predicate | distanceToPatnaApprox |
P59703
|
FINISHED |
| Object | about 90 km east of Patna |
—
|
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 90 km east of Patna | Statement: [Mokama, distanceToPatnaApprox, about 90 km east of Patna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPatnaApprox Context triple: [Mokama, distanceToPatnaApprox, about 90 km east of Patna]
-
A.
distanceFromPatna
chosen
Indicates the spatial distance between a given location and the city of Patna.
-
B.
distanceToLucknow
Indicates the spatial distance between a given entity’s location and the city of Lucknow.
-
C.
distanceToBhagalpur_km
Indicates the distance, measured in kilometers, from a given entity or location to Bhagalpur.
-
D.
distanceToJamshedpur_km
Indicates the physical distance, measured in kilometers, between a given location and Jamshedpur.
-
E.
distanceToDelhiApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and Delhi.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.