Triple
T37591018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utror Valley |
E935260
|
entity |
| Predicate | hasNearbyMeadow |
P202668
|
FINISHED |
| Object | Ladu Meadows |
—
|
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: Ladu Meadows | Statement: [Utror Valley, hasNearbyMeadow, Ladu Meadows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyMeadow Context triple: [Utror Valley, hasNearbyMeadow, Ladu Meadows]
-
A.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
-
B.
hasNearbyWoodland
Indicates that one entity is located close to or in the immediate vicinity of a woodland area associated with another entity.
-
C.
hasGrass
Indicates that one entity possesses or is covered by grass.
-
D.
hasNearbySpring
Indicates that one entity is located close to a natural spring associated with or near another entity.
-
E.
hasGrassEquivalent
Indicates that one entity corresponds to or serves as the grass-based counterpart or equivalent of another entity.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00a846a8f881908b073ad13a5af6ca |
completed | May 10, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_6a00a7aae194819085e1a2fd406f7922 |
completed | May 10, 2026, 3:43 p.m. |
| PDg | Predicate description generation | batch_6a00a845f574819085e80f0fd573a74f |
completed | May 10, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:18 p.m.