Triple
T25865762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حجل بن عبد المطلب |
E651608
|
entity |
| Predicate | مكان_الإقامة |
P90526
|
FINISHED |
| Object | مكة المكرمة |
—
|
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: مكة المكرمة | Statement: [حجل بن عبد المطلب, مكان_الإقامة, مكة المكرمة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مكان_الإقامة Context triple: [حجل بن عبد المطلب, مكان_الإقامة, مكة المكرمة]
-
A.
sleepingAccommodation
chosen
Indicates that one entity serves as a place or facility where another entity can sleep or stay overnight.
-
B.
reservationLocatedIn
Indicates that a reservation (such as a booking or held resource) is situated within or associated with a specific location or place.
-
C.
seeksLodgingIn
Indicates that one entity is actively trying to obtain or arrange a place to stay within a specified location.
-
D.
reservationLocatedAlong
Indicates that a reservation is situated along, adjacent to, or following the course or extent of a specified linear feature such as a road, river, or boundary.
-
E.
passengerAccommodation
Indicates that an entity provides or is designated as seating, lodging, or space intended for use by passengers.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026eaa188190a64ed5778daa42d7 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:07 a.m.