Triple
T34690345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalupe Peak |
E890874
|
entity |
| Predicate | summitMonumentErectedBy |
P25270
|
FINISHED |
| Object | American Airlines |
—
|
NE NERFINISHED |
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: American Airlines | Statement: [Guadalupe Peak, summitMonumentErectedBy, American Airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitMonumentErectedBy Context triple: [Guadalupe Peak, summitMonumentErectedBy, American Airlines]
-
A.
monumentProclamationYear
Indicates the year in which a monument was officially proclaimed or designated as such.
-
B.
monumentName
Indicates the specific name assigned to a monument associated with an entity.
-
C.
inauguratedAsConcreteMonument
Indicates that an entity has been formally established or opened in the specific role or status of a concrete monument.
-
D.
monumentSubject
Indicates that the subject serves as the monument or commemorative structure associated with another entity.
-
E.
builtMonument
chosen
Indicates that one entity constructed or created a monument in honor of, or related to, another entity.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 2:05 a.m.