Triple
T18318581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masar |
E438809
|
entity |
| Predicate | damLine |
P131324
|
FINISHED |
| Object | descends from the family of Oaks winner Melikah |
—
|
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: descends from the family of Oaks winner Melikah | Statement: [Masar, damLine, descends from the family of Oaks winner Melikah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damLine Context triple: [Masar, damLine, descends from the family of Oaks winner Melikah]
-
A.
yardLine
Indicates the specific position on a football field, measured in yards from a reference goal line, where a play or event occurs.
-
B.
damState
Indicates the operational or physical condition a dam is currently in, such as its status, integrity, or level of functionality.
-
C.
damLength
Indicates the measured longitudinal extent of a dam from one end to the other.
-
D.
damName
Indicates that an entity is identified by or associated with the specific name of a dam.
-
E.
divisionLine
Indicates a boundary or separating line that divides one area, group, or portion from another.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.