Triple
T38660093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Houston Dam |
E940005
|
entity |
| Predicate | isMajorReservoirSourceFor |
P11014
|
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 Houston Dam, isMajorReservoirSourceFor, Houston metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorReservoirSourceFor Context triple: [Lake Houston Dam, isMajorReservoirSourceFor, Houston metropolitan area]
-
A.
hasMajorReservoir
Indicates that an entity possesses or is associated with a primary or significant reservoir (such as a large storage or accumulation of a resource).
-
B.
majorReservoir
chosen
Indicates that one entity functions as a primary or significant water-storage reservoir associated with another entity.
-
C.
hasMajorLakeAtSource
Indicates that the source of a river or stream is located in, or directly associated with, a major lake.
-
D.
isReservoirProjectFor
Indicates that one entity is a reservoir project that is planned, designed, or implemented to serve or benefit another entity.
-
E.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 3, 2026, 4:33 p.m.