Triple
T26138091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | منف |
E659435
|
entity |
| Predicate | كانت_مقر |
P146693
|
FINISHED |
| Object | الإدارة الملكية في 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: الإدارة الملكية في الدولة القديمة | Statement: [منف, كانت_مقر, الإدارة الملكية في الدولة القديمة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: كانت_مقر Context triple: [منف, كانت_مقر, الإدارة الملكية في الدولة القديمة]
-
A.
wasHeadquartersDuring
chosen
Indicates that a particular location served as the headquarters of an entity during a specified time period.
-
B.
wasMilitaryHeadquartersOf
Indicates that a place or facility served as the main command center or headquarters for a specific military force or organization.
-
C.
wasCitadelOf
Indicates that a place previously served as the main fortified stronghold or central defensive structure for another entity.
-
D.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
E.
nearHeadquartersOf
Indicates that one entity is located geographically close to the headquarters of another entity.
- 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_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 26, 2026, 8:18 p.m.