Triple
T2376554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurasian sparrowhawk |
E46210
|
entity |
| Predicate | averageWingspanFemale |
P38800
|
FINISHED |
| Object | 67–80 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: 67–80 cm | Statement: [Eurasian sparrowhawk, averageWingspanFemale, 67–80 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageWingspanFemale Context triple: [Eurasian sparrowhawk, averageWingspanFemale, 67–80 cm]
-
A.
averageFemaleHeight
Indicates the typical or mean height value observed among female individuals in a given group or population.
-
B.
averageWeightFemale
Indicates the typical or mean body weight associated specifically with female individuals within a given group or context.
-
C.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
-
D.
womenWing
Indicates a relationship where a woman is associated with or positioned at the wing (side section) of a structure, group, or setting.
-
E.
womensWing
Indicates a relationship where an entity is designated as the women’s section or women-only wing of a larger place or facility.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abca4c937c8190b4dfca716b868d4f |
completed | March 7, 2026, 6:48 a.m. |
Created at: March 4, 2026, 7:57 p.m.