Triple
T25843539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She-camel of Salih |
E651001
|
entity |
| Predicate | sharesWaterAccess |
P179451
|
FINISHED |
| Object | alternating days with the people of Thamud |
—
|
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: alternating days with the people of Thamud | Statement: [She-camel of Salih, sharesWaterAccess, alternating days with the people of Thamud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesWaterAccess Context triple: [She-camel of Salih, sharesWaterAccess, alternating days with the people of Thamud]
-
A.
waterSourceAccessibility
Indicates how easily and reliably water sources can be reached, obtained, and used by intended users.
-
B.
waterSupplyShare
Indicates the proportion of a total water supply that is allocated to or used by a particular entity.
-
C.
shareWaterway
Indicates that two or more entities are connected by and have access to the same navigable body of water, such as a river, canal, or sea route.
-
D.
freshwaterAvailability
Indicates the degree to which usable freshwater resources are present and accessible in a given context.
-
E.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 22, 2026, 7:51 a.m.