Triple
T30461165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolayat Lake |
E775010
|
entity |
| Predicate | hasAssociatedSage |
P179240
|
FINISHED |
| Object | Kapila |
—
|
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: Kapila | Statement: [Kolayat Lake, hasAssociatedSage, Kapila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedSage Context triple: [Kolayat Lake, hasAssociatedSage, Kapila]
-
A.
hasSamOn
Indicates that one entity has a person named Sam positioned on or attached to it.
-
B.
hasSam
Indicates that one entity possesses, contains, or is associated with an entity named or identified as Sam.
-
C.
hasSacbe
Indicates a relationship where one place or structure possesses, is connected by, or is associated with a sacbe (an ancient raised road or causeway).
-
D.
hasSAGAFTRAID
Indicates that an entity is associated with a specific SAG-AFTRA identification number, representing its membership or registration in the SAG-AFTRA union.
-
E.
hasSanctuary
Indicates that one entity provides or serves as a place of refuge, protection, or safe haven 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 29, 2026, 8:10 p.m.