Triple
T7562266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohéli |
E178820
|
entity |
| Predicate | relativeSizeWithinComoros |
P77625
|
FINISHED |
| Object | smallest main island |
—
|
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: smallest main island | Statement: [Mohéli, relativeSizeWithinComoros, smallest main island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeWithinComoros Context triple: [Mohéli, relativeSizeWithinComoros, smallest main island]
-
A.
relativeSizeInArchipelago
Indicates the comparative size relationship of an entity relative to other entities within the same archipelago.
-
B.
relativeSizeOnTethys
Indicates how the size of one entity compares to another specifically in the context of Tethys.
-
C.
relativeSizeInJapan
Indicates how the size of one entity compares to another specifically within the context of Japan.
-
D.
relativeSizeAmongJapanMainIslands
Indicates the comparative size ranking of an island relative to the other main islands of Japan.
-
E.
relativeFruitSize
Indicates the comparative size relationship between one fruit and another (e.g., larger than, smaller than, or similar in size).
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f994a48190b8338654d6777654 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.