Triple
T27910689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edison Peña |
E705917
|
entity |
| Predicate | undergroundDuration |
P177528
|
FINISHED |
| Object | approximately 69 days |
—
|
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 69 days | Statement: [Edison Peña, undergroundDuration, approximately 69 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergroundDuration Context triple: [Edison Peña, undergroundDuration, approximately 69 days]
-
A.
hasUndergroundLength
Indicates the extent of an object or structure that lies below ground level, measured as its underground length.
-
B.
undergroundStatus
Indicates whether something operates, exists, or is located beneath the surface or outside official/visible structures.
-
C.
hasUndergroundDepth
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
D.
integratedIntoUnderground
Indicates that something has been incorporated or absorbed into an underground system, structure, or environment.
-
E.
constructionPeriodOfUndergroundHall
Indicates the time span during which an underground hall was being constructed.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 27, 2026, 6:49 p.m.