Triple
T1276534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spasskaya Tower |
E27224
|
entity |
| Predicate | gateOrientation |
P28310
|
FINISHED |
| Object | towards Red Square |
—
|
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: towards Red Square | Statement: [Spasskaya Tower, gateOrientation, towards Red Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gateOrientation Context triple: [Spasskaya Tower, gateOrientation, towards Red Square]
-
A.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
-
B.
doorConfiguration
Indicates how a door is arranged or set up in relation to its frame, opening direction, and operational characteristics.
-
C.
shaftOrientation
Indicates the directional alignment or angle at which a shaft is positioned or oriented relative to a reference frame or object.
-
D.
doorLocation
Indicates the spatial position or placement of a door relative to a reference structure or area.
-
E.
doorType
Indicates the specific kind or category of door associated with an entity.
- F. None of above. chosen
Provenance (4 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c31400c08190a07ccb736df3bf54 |
completed | March 1, 2026, 10:52 p.m. |
Created at: March 1, 2026, 7:50 p.m.