Triple
T34196600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lealui |
E877258
|
entity |
| Predicate | seasonalCounterpart |
P61951
|
FINISHED |
| Object | Limulunga |
—
|
NE NERFINISHED |
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: Limulunga | Statement: [Lealui, seasonalCounterpart, Limulunga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalCounterpart Context triple: [Lealui, seasonalCounterpart, Limulunga]
-
A.
hasSeasonalCounterpart
chosen
Indicates that one entity corresponds to another entity that appears or is relevant in a different season as its counterpart.
-
B.
seasonalCategory
Indicates that something is associated with, classified by, or relevant to a particular season or time of year.
-
C.
seasonMonths
Indicates the set of calendar months during which a given season occurs.
-
D.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
E.
seasonalOrder
Indicates the temporal ordering of events or states according to their position within a recurring seasonal cycle.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 1, 2026, 1:55 a.m.