Triple
T3910568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit Piton |
E87309
|
entity |
| Predicate | heightRankInSaintLucia |
P52845
|
FINISHED |
| Object | one of the highest peaks in Saint Lucia |
—
|
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: one of the highest peaks in Saint Lucia | Statement: [Petit Piton, heightRankInSaintLucia, one of the highest peaks in Saint Lucia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightRankInSaintLucia Context triple: [Petit Piton, heightRankInSaintLucia, one of the highest peaks in Saint Lucia]
-
A.
representedInSaintLuciaBy
Indicates that one entity serves as the official representative or agent of another entity specifically within Saint Lucia.
-
B.
populationRankInLuxembourg
Indicates the relative position of a place in Luxembourg when ordered by the size of its population.
-
C.
rankByAreaInCaribbean
Indicates the relative ordering of entities based on their area size specifically within the Caribbean region.
-
D.
populationRankInPuertoRico
Indicates the relative position of a place in terms of population size compared to other places within Puerto Rico.
-
E.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:22 p.m.