Triple
T26279980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balasagun |
E660675
|
entity |
| Predicate | notableNearbyMonument |
P19575
|
FINISHED |
| Object | Burana Tower |
—
|
NE NERFINISHED |
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: Burana Tower | Statement: [Balasagun, notableNearbyMonument, Burana Tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableNearbyMonument Context triple: [Balasagun, notableNearbyMonument, Burana Tower]
-
A.
notableNearbySite
chosen
Indicates that one entity is a significant or noteworthy site located close to another entity.
-
B.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
C.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
-
D.
nearbyMonumentDedication
Indicates that a monument located close to a given reference point has been formally dedicated, typically in honor of a person, event, or concept.
-
E.
isPublicMonument
Indicates that something is officially designated, accessible, and recognized as a monument in a public space.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: April 26, 2026, 9:59 p.m.