Triple
T30565878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black-headed gull |
E777972
|
entity |
| Predicate | winterHeadPattern |
P10789
|
FINISHED |
| Object | white head with dark ear-spot |
—
|
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: white head with dark ear-spot | Statement: [Black-headed gull, winterHeadPattern, white head with dark ear-spot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterHeadPattern Context triple: [Black-headed gull, winterHeadPattern, white head with dark ear-spot]
-
A.
winterSeason
Indicates that the time, event, or condition occurs during or is specifically associated with the winter season.
-
B.
winterCharacteristic
chosen
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
C.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
D.
winterAscent
Indicates an ascent or climb that is carried out during the winter season, under winter conditions.
-
E.
winterFrequency
Indicates how often the related event, condition, or phenomenon occurs during the winter season.
- 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6890e7aec8190b0a79e08744acf5f |
completed | May 2, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:21 p.m.