Triple
T3095641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cofre de Perote |
E64588
|
entity |
| Predicate | hasCommunicationTowers |
P45880
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cofre de Perote, hasCommunicationTowers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunicationTowers Context triple: [Cofre de Perote, hasCommunicationTowers, yes]
-
A.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
B.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
C.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
D.
hasControlTower
Indicates that one entity possesses, hosts, or is equipped with a control tower that manages or oversees its operations.
-
E.
telecommunicationSystem
Indicates a relationship where communication between entities is carried out over a distance using electronic or digital transmission systems.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23b04188190919a69987d2c180f |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.