Triple
T35411375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Texas Municipal Water District |
E1023520
|
entity |
| Predicate | servesFastGrowingRegion |
P184313
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [North Texas Municipal Water District, servesFastGrowingRegion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesFastGrowingRegion Context triple: [North Texas Municipal Water District, servesFastGrowingRegion, true]
-
A.
isInRapidlyGrowingRegion
chosen
Indicates that an entity is located within a region experiencing rapid growth, such as in population, economy, or development.
-
B.
isFastGrowing
Indicates that an entity increases in size, quantity, or impact at a rapid or above-average rate over time.
-
C.
growthRegion
Indicates the region or area in which a growth process, expansion, or development occurs.
-
D.
servesRegionAcrossFrom
Indicates that a service or entity operates in a region that is geographically located directly across from another specified region.
-
E.
successorInRegion
Indicates that one entity directly follows or replaces another within a specified region or jurisdiction.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:03 p.m.