Triple
T4664314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katni |
E102807
|
entity |
| Predicate | cementPlantsPresence |
P25392
|
FINISHED |
| Object | multiple cement 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: multiple cement plants | Statement: [Katni, cementPlantsPresence, multiple cement plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cementPlantsPresence Context triple: [Katni, cementPlantsPresence, multiple cement plants]
-
A.
hasIndustrialPlant
chosen
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
B.
cementType
Indicates the specific kind or classification of cement associated with an entity.
-
C.
constructionSite
Indicates that an entity is a location or area where construction work is actively taking place or is planned to occur.
-
D.
isIndustrialCenter
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
E.
mainManufacturingSite
Indicates the primary location where an entity’s products are manufactured or produced.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633aeba88190a8329ed022d685b6 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.