Triple
T28283176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hara forests of Qeshm |
E713208
|
entity |
| Predicate | commonNameOfDominantFlora |
P80238
|
FINISHED |
| Object | grey mangrove |
—
|
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: grey mangrove | Statement: [Hara forests of Qeshm, commonNameOfDominantFlora, grey mangrove]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonNameOfDominantFlora Context triple: [Hara forests of Qeshm, commonNameOfDominantFlora, grey mangrove]
-
A.
dominantPlantFamily
Indicates that one plant family is the most prevalent or ecologically dominant group within a specified area, community, or context.
-
B.
hasScientificNameOfDominantTree
Indicates the scientific (Latin) name of the tree species that is dominant in a given area or context.
-
C.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
D.
dominantTreeCommonName
chosen
Indicates the common (non-scientific) name of the tree species that is dominant in a given area or ecological context.
-
E.
associatedFlora
Indicates a relationship where specific plants or vegetation are characteristically linked to, occur with, or are commonly found in association with a given entity or environment.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 27, 2026, 11:24 p.m.