Triple
T15818177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skowhegan Indian |
E383532
|
entity |
| Predicate | heightOfFigure |
P120194
|
FINISHED |
| Object | approximately 50 feet |
—
|
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: approximately 50 feet | Statement: [Skowhegan Indian, heightOfFigure, approximately 50 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfFigure Context triple: [Skowhegan Indian, heightOfFigure, approximately 50 feet]
-
A.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
-
B.
heightDescription
Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
-
C.
heightInMetres
Indicates the height of an entity expressed as a measurement in metres.
-
D.
largestFigureLengthApprox
Indicates an approximate measurement of the length of the largest figure involved in the relationship or context.
-
E.
statueHeight
Indicates the height measurement of a statue in some specified unit.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a552008190863343c9d41ebf3f |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e00e48d49c819081afccb02f9cf18b |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:49 a.m.