Triple
T8732708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sótano de las Golondrinas |
E207296
|
entity |
| Predicate | floorWidth |
P84543
|
FINISHED |
| Object | approximately 300 meters |
—
|
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 300 meters | Statement: [Sótano de las Golondrinas, floorWidth, approximately 300 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorWidth Context triple: [Sótano de las Golondrinas, floorWidth, approximately 300 meters]
-
A.
floorHeight
Indicates the vertical elevation or level at which a particular floor is positioned within a structure.
-
B.
floor
Indicates that one entity is located on or forms the walking surface (the floor) beneath another entity within a space.
-
C.
bedLength
Indicates the measurement of how long a bed is from one end to the other.
-
D.
entranceWidth
Indicates the measured horizontal span of an entrance opening that defines how wide the entry passage is.
-
E.
floorType
Indicates the type or material classification of a floor associated with an entity.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2903b08190a5ef29b6d6ca5f1c |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc572d99bc819097f36b140c2ee1ce |
completed | March 31, 2026, 11:22 p.m. |
Created at: March 30, 2026, 6:37 p.m.