Triple
T12854751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monument |
E307420
|
entity |
| Predicate | distanceFromFireOrigin |
P107226
|
FINISHED |
| Object | 202 feet |
—
|
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: 202 feet | Statement: [The Monument, distanceFromFireOrigin, 202 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromFireOrigin Context triple: [The Monument, distanceFromFireOrigin, 202 feet]
-
A.
distanceFromHypocenter
Indicates the measured distance between a specified location and the hypocenter (origin point) of an event such as an earthquake.
-
B.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
C.
fireBeganAt
Indicates that the event of a fire starting occurred at a specific time or location.
-
D.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
E.
distanceFromCentre
Indicates the measured or specified distance of an entity from a defined central point.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:37 p.m.