Triple
T27713617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chin |
E698756
|
entity |
| Predicate | hasFragileAlpineVegetation |
P109638
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Chin, hasFragileAlpineVegetation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFragileAlpineVegetation Context triple: [The Chin, hasFragileAlpineVegetation, true]
-
A.
hasAlpineFlora
chosen
Indicates that an entity possesses or is characterized by plant life typical of high-altitude alpine environments.
-
B.
hasAlpineTundra
Indicates that something possesses or is characterized by an alpine tundra environment or habitat.
-
C.
hasSubalpineZone
Indicates that something possesses or includes a subalpine ecological zone, typically found just below the alpine zone in mountainous regions.
-
D.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
-
E.
hasForestedSlopes
Indicates that the subject has slopes that are covered predominantly with forest or woodland vegetation.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 3:03 p.m.