Triple
T34501329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capac Urcu |
E885760
|
entity |
| Predicate | hasPeakForm |
P87678
|
FINISHED |
| Object | multiple sharp peaks |
—
|
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: multiple sharp peaks | Statement: [Capac Urcu, hasPeakForm, multiple sharp peaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakForm Context triple: [Capac Urcu, hasPeakForm, multiple sharp peaks]
-
A.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
B.
hasPeakOver
Indicates that one entity’s peak (such as a maximum value, height, or intensity) exceeds that of another entity.
-
C.
hasPeakAssociated
chosen
Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
-
D.
hasNumberAtPeak
Indicates that an entity possesses a specific numerical value measured at its highest or peak point.
-
E.
hasPeakOccupation
Indicates that an entity reached its highest level of activity, prominence, or engagement during a specified time period or context.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: May 1, 2026, 2:01 a.m.