Triple
T5980131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juche Tower |
E133098
|
entity |
| Predicate | heightIncludingFlame |
P67847
|
FINISHED |
| Object | 170 m |
—
|
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: 170 m | Statement: [Juche Tower, heightIncludingFlame, 170 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightIncludingFlame Context triple: [Juche Tower, heightIncludingFlame, 170 m]
-
A.
heightOfChimney
Indicates the vertical measurement of a chimney from its base to its top.
-
B.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
C.
overallHeightInFiringPosition
Indicates the total vertical height of an entity when it is in its designated firing or shooting position.
-
D.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
E.
heightAboveGround
Indicates the vertical distance of an entity measured from the ground surface directly beneath it.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:04 p.m.