Triple
T30488136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quillagua |
E775776
|
entity |
| Predicate | geographicalDesignation |
P53641
|
FINISHED |
| Object | locality in northern Chile |
—
|
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: locality in northern Chile | Statement: [Quillagua, geographicalDesignation, locality in northern Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalDesignation Context triple: [Quillagua, geographicalDesignation, locality in northern Chile]
-
A.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
-
B.
territorialDesignation
Indicates that an entity is assigned, defined, or recognized in terms of a specific geographic or territorial area.
-
C.
mapDesignation
Indicates a formal label or identifier that is assigned to something specifically for use on a map.
-
D.
refersToGeographicFeature
chosen
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
-
E.
geographicRole
Indicates a relationship where one entity serves a specific geographic function, status, or role in relation to another location or area.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 29, 2026, 8:13 p.m.