Triple
T17619059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solifugae |
E429660
|
entity |
| Predicate | numberOfFamiliesApproximate |
P31487
|
FINISHED |
| Object | about 12 |
—
|
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: about 12 | Statement: [Solifugae, numberOfFamiliesApproximate, about 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFamiliesApproximate Context triple: [Solifugae, numberOfFamiliesApproximate, about 12]
-
A.
numberOfFamilies
chosen
Indicates the total count of distinct family units associated with a given entity or context.
-
B.
macroFamilySize
Indicates the total number of distinct families or family-level groupings contained within a larger macro-level family or classification.
-
C.
familySize
Indicates the number of individuals that belong to a given family unit.
-
D.
largestFamily
Indicates that the subject entity has the largest family (in size or number of members) compared to a specified group of entities.
-
E.
hasApproximateNumberOfSurnames
Indicates that an entity is associated with an estimated or approximate count of surnames rather than an exact number.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3489dc8190a619c58025dbb250 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.