Triple
T21912690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawaiahao Church |
E541103
|
entity |
| Predicate | numberOfCoralBlocksUsed |
P92310
|
FINISHED |
| Object | approximately 14000 |
—
|
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: approximately 14000 | Statement: [Kawaiahao Church, numberOfCoralBlocksUsed, approximately 14000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCoralBlocksUsed Context triple: [Kawaiahao Church, numberOfCoralBlocksUsed, approximately 14000]
-
A.
hasSoftCoralDensity
Indicates that an entity is associated with a specific measured density of soft coral within a given area or volume.
-
B.
coralType
Indicates the specific kind or classification of coral associated with an entity.
-
C.
numberOfBricksUsed
Indicates the quantity of bricks that were utilized in constructing or forming something.
-
D.
numberOfBlocks
chosen
Indicates the quantity of discrete block units associated with or contained by a given entity.
-
E.
numberOfCrystals
Indicates the quantity or count of crystals associated with an entity.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121db1dc48190af5dc634431d863a |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:41 p.m.