Triple
T25581758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAV |
E641262
|
entity |
| Predicate | codeForLocation |
P97970
|
FINISHED |
| Object | David, Chiriquí, Panama |
—
|
NE NERFINISHED |
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: David, Chiriquí, Panama | Statement: [DAV, codeForLocation, David, Chiriquí, Panama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeForLocation Context triple: [DAV, codeForLocation, David, Chiriquí, Panama]
-
A.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
B.
locationCode
chosen
Indicates the specific coded location associated with an entity, event, or relationship.
-
C.
codeForStationIn
Indicates that a specific code is assigned to or used to identify a station within a particular system, network, or context.
-
D.
locationCodePart
Indicates that one location code is a constituent or segment of another, larger location code.
-
E.
codeForSystem
Indicates that something serves as the code, identifier, or encoding used within or by a particular system.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f93653948190baf191db01add4b2 |
completed | May 2, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:13 p.m.