Triple
T11138142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Chiginagak |
E263466
|
entity |
| Predicate | hasUSGSID |
P57577
|
FINISHED |
| Object | 312130 |
—
|
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: 312130 | Statement: [Mount Chiginagak, hasUSGSID, 312130]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUSGSID Context triple: [Mount Chiginagak, hasUSGSID, 312130]
-
A.
USGSID
chosen
Indicates a unique identifier assigned by the U.S. Geological Survey to distinguish a specific geographic or geological feature from all others.
-
B.
GNISID
Indicates that an entity is associated with a specific identifier from the U.S. Geographic Names Information System (GNIS), uniquely linking it to an official geographic feature record.
-
C.
hasNationalParkServiceUnitCode
Indicates that an entity is associated with a specific National Park Service unit, identified by its official unit code.
-
D.
GNISFeatureID
Indicates that an entity is associated with a specific identifier assigned by the U.S. Geological Survey’s Geographic Names Information System (GNIS) to uniquely reference a geographic feature.
-
E.
hasNationalTopographicCode
Indicates that an entity is associated with a specific national topographic code used for geographic or mapping identification.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.