Triple
T15141119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapanuli orangutan |
E361683
|
entity |
| Predicate | geographicRangeSize |
P2178
|
FINISHED |
| Object | very restricted |
—
|
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: very restricted | Statement: [Tapanuli orangutan, geographicRangeSize, very restricted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicRangeSize Context triple: [Tapanuli orangutan, geographicRangeSize, very restricted]
-
A.
geographicRangeType
Indicates the kind of geographic range or distribution pattern that characterizes where an entity occurs or is found.
-
B.
geographicRangeTrend
Indicates how the spatial extent or distribution area of something is changing over time (e.g., expanding, contracting, or remaining stable).
-
C.
geographicDistribution
chosen
Indicates the spatial range or area over which something occurs, exists, or is found.
-
D.
hasLandAreaRange
Indicates that an entity’s land area falls within a specified minimum-to-maximum range.
-
E.
territorialExtent
Indicates the geographic area or spatial range over which something extends, applies, or has jurisdiction.
- F. None of above.
Provenance (3 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c46a248190a2364092d40274f3 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.