Triple
T30591571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa del Rey Moro |
E778670
|
entity |
| Predicate | waterMineAlsoKnownAs |
P186379
|
FINISHED |
| Object | Mina de Agua |
—
|
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: Mina de Agua | Statement: [Casa del Rey Moro, waterMineAlsoKnownAs, Mina de Agua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterMineAlsoKnownAs Context triple: [Casa del Rey Moro, waterMineAlsoKnownAs, Mina de Agua]
-
A.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
C.
waterIsKnownFor
Indicates that something is recognized or notable for its association with water, such as its abundance, use, or characteristic relation to water.
-
D.
hasWaterResourceRole
Indicates that an entity participates in a water-related resource context with a specified functional role (e.g., source, user, manager, or regulator of water resources).
-
E.
waterSourceHistoric
Indicates that one entity has historically served as a source or supply of water for the other.
- 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: April 29, 2026, 8:24 p.m.