Triple
T12805866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samrat Yantra |
E306141
|
entity |
| Predicate | latitudeAlignment |
P51424
|
FINISHED |
| Object | aligned to latitude of Jaipur |
—
|
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: aligned to latitude of Jaipur | Statement: [Samrat Yantra, latitudeAlignment, aligned to latitude of Jaipur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: latitudeAlignment Context triple: [Samrat Yantra, latitudeAlignment, aligned to latitude of Jaipur]
-
A.
basedOnAlignmentOf
chosen
Indicates a relationship where one entity is determined, derived, or decided according to how closely it aligns with another entity’s position, orientation, or criteria.
-
B.
laterAlignedWith
Indicates that one entity becomes aligned with or matches another entity at a later point in time, rather than initially.
-
C.
verticalLocation
Indicates a vertical positional relationship where one entity is located above or below another along the up-down axis.
-
D.
typicalAlignment
Indicates the usual or most common way in which two entities are positioned, oriented, or arranged relative to each other.
-
E.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.