Triple
T329452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsutenkaku Tower |
E6592
|
entity |
| Predicate | hasBillikenStatue |
P1646
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tsutenkaku Tower, hasBillikenStatue, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBillikenStatue Context triple: [Tsutenkaku Tower, hasBillikenStatue, yes]
-
A.
hasStatue
chosen
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
B.
designatedChicagoLandmark
Indicates that an entity has been officially recognized and designated as a Chicago landmark.
-
C.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
D.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
E.
isMajorAttractionIn
Indicates that something is a primary or highly significant attraction within a particular place or location.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94aab1c8190b8654708c87eeb91 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.