Triple
T10105808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dusky scrubfowl |
E216316
|
entity |
| Predicate | usesMaterialForMounds |
P92449
|
FINISHED |
| Object | sand |
—
|
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: sand | Statement: [dusky scrubfowl, usesMaterialForMounds, sand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMaterialForMounds Context triple: [dusky scrubfowl, usesMaterialForMounds, sand]
-
A.
moundColor
Indicates the color associated with a mound.
-
B.
numberOfMounds
Indicates the quantitative relationship specifying how many mounds are associated with a given entity or context.
-
C.
primaryMoundType
Indicates the main or dominant type of mound associated with or characterizing an entity.
-
D.
hasArchaeologicalMound
Indicates that an entity possesses or contains an archaeological mound, i.e., a raised earthwork or mound of archaeological significance located on or within it.
-
E.
usesMortar
Indicates that one entity employs or applies mortar in relation to another entity or context.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09dde888190bb550a3cd0b204fe |
completed | April 2, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd5150ae98819086c4f822114b4e2c |
completed | April 1, 2026, 5:09 p.m. |
Created at: March 30, 2026, 9:03 p.m.