Triple
T6073275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probolinggo |
E135336
|
entity |
| Predicate | distanceToMountBromo |
P68486
|
FINISHED |
| Object | approximately 45–60 km by road |
—
|
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: approximately 45–60 km by road | Statement: [Probolinggo, distanceToMountBromo, approximately 45–60 km by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMountBromo Context triple: [Probolinggo, distanceToMountBromo, approximately 45–60 km by road]
-
A.
distanceFromVesuvius
Indicates the spatial distance between an entity and Mount Vesuvius.
-
B.
distanceToJakarta_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and Jakarta.
-
C.
distanceToBrokenHill_km
Indicates the physical distance, measured in kilometers, between a given entity and the location Broken Hill.
-
D.
distanceToOldFaithfulGeyser
Indicates the spatial distance between a given entity and the Old Faithful Geyser.
-
E.
distanceFromNgurahRaiAirport
Indicates the measured distance between a given location and Ngurah Rai Airport.
- F. None of above. chosen
Provenance (4 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575b9bc08190a78b3082b9ccf00c |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:11 p.m.