Triple
T26086807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serhetabat District |
E658005
|
entity |
| Predicate | nearbyHistoricalRegion |
P72879
|
FINISHED |
| Object | Panjdeh |
—
|
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: Panjdeh | Statement: [Serhetabat District, nearbyHistoricalRegion, Panjdeh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyHistoricalRegion Context triple: [Serhetabat District, nearbyHistoricalRegion, Panjdeh]
-
A.
nearbyHistoricalServiceFor
Indicates that a historical service or facility is located close to a given reference entity or location.
-
B.
hasNearbyHistoricArea
chosen
Indicates that one entity is located close to another entity that is designated as a historic area.
-
C.
historicalServiceNear
Indicates that a historical service or event occurred in close spatial proximity to a specified location or entity.
-
D.
hasNearbyHistoricalEvent
Indicates that a given entity is located close to the site where a specific historical event occurred.
-
E.
nearbySettlementRegion
Indicates that a settlement is located close to or within the surrounding area of a specified region.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 26, 2026, 7:43 p.m.