Triple
T15741674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic Lām |
E381615
|
entity |
| Predicate | geminationPossible |
P120444
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Arabic Lām, geminationPossible, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geminationPossible Context triple: [Arabic Lām, geminationPossible, true]
-
A.
hasGeminateConsonants
Indicates that a word, morpheme, or phonological form contains one or more geminate (doubled or lengthened) consonant sounds.
-
B.
unificationPossible
Indicates that two entities can be combined or reconciled into a single, consistent representation under a shared set of constraints or rules.
-
C.
twinning
Indicates that two entities are paired or linked as twins, typically sharing a formally recognized, parallel, or closely matched relationship.
-
D.
possibleConsortOf
Indicates that one entity is a potential or likely romantic or marital partner of another, without asserting that the relationship is confirmed.
-
E.
mayBeFormedWhen
Indicates that one entity has the potential to come into existence or be created as a result of another entity, condition, or process.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:46 a.m.