Triple
T32752410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Hawamim |
E837531
|
entity |
| Predicate | openingLettersType |
P44422
|
FINISHED |
| Object | Muqattaʿat |
—
|
NE NERFINISHED |
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: Muqattaʿat | Statement: [Al-Hawamim, openingLettersType, Muqattaʿat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingLettersType Context triple: [Al-Hawamim, openingLettersType, Muqattaʿat]
-
A.
openingLetters
Indicates that one entity is the initial or first letter(s) of another entity (such as a word, name, or string).
-
B.
letterType
chosen
Indicates the specific category or kind of letter associated with or assigned to an entity.
-
C.
openingName
Indicates the name or title assigned to a specific opening, such as an initial move, phase, or starting configuration in a structured sequence or activity.
-
D.
openingStyle
Indicates how something is initially presented, introduced, or begun in terms of manner, format, or approach.
-
E.
openingSequenceType
Indicates the specific kind or category of an opening sequence associated with an entity or event.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 1, 2026, 1:12 a.m.