Triple
T19422116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophir Chasma |
E485881
|
entity |
| Predicate | hasFloorCharacteristic |
P97094
|
FINISHED |
| Object | relatively flat floor in places |
—
|
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: relatively flat floor in places | Statement: [Ophir Chasma, hasFloorCharacteristic, relatively flat floor in places]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloorCharacteristic Context triple: [Ophir Chasma, hasFloorCharacteristic, relatively flat floor in places]
-
A.
hasFloorFeature
chosen
Indicates that a floor possesses or includes a specific feature or characteristic.
-
B.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
C.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
D.
hasFloorUse
Indicates that a particular floor or level of a building is designated for a specific function, activity, or type of use.
-
E.
hasTopFloorFeature
Indicates that a building’s top floor possesses a specific feature, attribute, or amenity.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632159d7081909d004544ec5992c0 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.