Triple
T27188013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panjgur |
E683389
|
entity |
| Predicate | hasPalmGroves |
P182215
|
FINISHED |
| Object | date palm groves |
—
|
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: date palm groves | Statement: [Panjgur, hasPalmGroves, date palm groves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPalmGroves Context triple: [Panjgur, hasPalmGroves, date palm groves]
-
A.
isLargestNaturalPalmGroveOfType
Indicates that one entity is the largest natural palm grove among all groves of a specified type.
-
B.
hasGreenSpaces
Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
-
C.
hasTrees
Indicates that something possesses or contains one or more trees.
-
D.
hasOliveGroves
Indicates that one entity possesses, contains, or is characterized by olive groves in relation to another entity.
-
E.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 27, 2026, 9:31 a.m.