Triple
T38524843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poecilia wingei |
E922597
|
entity |
| Predicate | typicalFemaleLength |
P158801
|
FINISHED |
| Object | 3.0–4.5 cm |
—
|
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: 3.0–4.5 cm | Statement: [Poecilia wingei, typicalFemaleLength, 3.0–4.5 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFemaleLength Context triple: [Poecilia wingei, typicalFemaleLength, 3.0–4.5 cm]
-
A.
femaleLengthRange
chosen
Indicates the range of lengths typically observed for female individuals of a given species or group.
-
B.
averageBodyLengthFemale
Indicates the typical or mean body length measured specifically for female individuals of a given group or species.
-
C.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
D.
typicalHemlineLength
Indicates the usual or characteristic length of the hemline associated with an item, style, or category of clothing.
-
E.
averageFemaleHeight
Indicates the typical or mean height value observed among female individuals in a given group or population.
- 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.