Triple
T26138294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | معبد بتاح في منف |
E659441
|
entity |
| Predicate | ذُكر في |
P89069
|
FINISHED |
| Object | نقوش وآثار من الدولة القديمة |
—
|
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: نقوش وآثار من الدولة القديمة | Statement: [معبد بتاح في منف, ذُكر في, نقوش وآثار من الدولة القديمة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ذُكر في Context triple: [معبد بتاح في منف, ذُكر في, نقوش وآثار من الدولة القديمة]
-
A.
ذُكر_في
chosen
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
-
B.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
C.
mentionedInFilm
Indicates that an entity is referenced or talked about within the content of a film.
-
D.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
E.
mentionedWith
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:18 p.m.