Triple
T1488521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olmec civilization |
E29522
|
entity |
| Predicate | numberOfKnownColossalHeadsApprox |
P22479
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Olmec civilization, numberOfKnownColossalHeadsApprox, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfKnownColossalHeadsApprox Context triple: [Olmec civilization, numberOfKnownColossalHeadsApprox, 17]
-
A.
numberOfStelae
Indicates the quantity of stelae associated with a given entity or context.
-
B.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
-
C.
approximateNumberOfMoai
Indicates that one entity specifies an estimated or approximate count of Moai associated with another entity.
-
D.
hasCanonicalNumberOfHeads
Indicates that an entity possesses the standard or officially recognized number of heads for its kind.
-
E.
numberOfSculptures
chosen
Indicates the quantity of sculptures associated with a given entity or context.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a44efc819084254614d8ea4669 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.