Triple
T27022443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghotki |
E680701
|
entity |
| Predicate | nearbyIndustrialInstallation |
P179784
|
FINISHED |
| Object | fertilizer plants |
—
|
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: fertilizer plants | Statement: [Ghotki, nearbyIndustrialInstallation, fertilizer plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyIndustrialInstallation Context triple: [Ghotki, nearbyIndustrialInstallation, fertilizer plants]
-
A.
hasIndustrialPlant
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
B.
hasIndustrialSiteIn
Indicates that an entity possesses, operates, or is responsible for an industrial facility located within a specified place or area.
-
C.
operatedFacilityNear
Indicates that an entity operated a facility located in close geographic proximity to another specified entity or place.
-
D.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
E.
adjacentToIndustrialArea
Indicates that one entity is located directly next to or bordering an industrial area.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 27, 2026, 7:09 a.m.