Triple
T4138432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasius niger |
E89212
|
entity |
| Predicate | nuptialFlightSeason |
P54095
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Lasius niger, nuptialFlightSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nuptialFlightSeason Context triple: [Lasius niger, nuptialFlightSeason, summer]
-
A.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
B.
weddingCity
Indicates the city where a wedding takes place or is held.
-
C.
marriageCustom
Indicates a culturally recognized set of practices, rules, or traditions that govern how marriages are formed, conducted, or maintained between individuals or groups.
-
D.
bride
Indicates that an entity is a woman who is getting married or has just been married in relation to a wedding event or spouse.
-
E.
marriageLocation
Indicates the place where a marriage ceremony or legal union between two people took place.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.