Triple
T34350184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Livingston |
E881547
|
entity |
| Predicate | majorWaterSupplyFor |
P4360
|
FINISHED |
| Object | Houston metropolitan area |
—
|
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: Houston metropolitan area | Statement: [Lake Livingston, majorWaterSupplyFor, Houston metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorWaterSupplyFor Context triple: [Lake Livingston, majorWaterSupplyFor, Houston metropolitan area]
-
A.
sourceOfWaterSupply
chosen
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
B.
waterSupplyPopulationServed
Indicates the number of people that are provided with or served by a particular water supply system.
-
C.
waterSupplyShare
Indicates the proportion of a total water supply that is allocated to or used by a particular entity.
-
D.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
E.
waterSupplyProjectFor
Indicates that a water supply project is undertaken for the benefit or service of a particular entity.
- 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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: May 1, 2026, 1:58 a.m.