Triple
T9011128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quan Thanh Temple |
E215473
|
entity |
| Predicate | statueCreatedInYear |
P85714
|
FINISHED |
| Object | 1677 |
—
|
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: 1677 | Statement: [Quan Thanh Temple, statueCreatedInYear, 1677]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statueCreatedInYear Context triple: [Quan Thanh Temple, statueCreatedInYear, 1677]
-
A.
statueName
Indicates that a statue has a specific name or title associated with it.
-
B.
sculptorOfFrontStatue
Indicates that one entity is the sculptor who created the statue located at the front of another entity (such as a building or site).
-
C.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
D.
statuesBy
Indicates that one entity is the creator, sculptor, or originator of statues depicting or associated with another entity.
-
E.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:06 p.m.