Triple
T31801923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Shukheidim |
E811763
|
entity |
| Predicate | hasNearbyEducationalCenter |
P167117
|
FINISHED |
| Object | Birzeit University |
—
|
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: Birzeit University | Statement: [Abu Shukheidim, hasNearbyEducationalCenter, Birzeit University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyEducationalCenter Context triple: [Abu Shukheidim, hasNearbyEducationalCenter, Birzeit University]
-
A.
hasNearbyInstitution
Indicates that one entity is located close to or in the immediate vicinity of an institution.
-
B.
hasNearbyInstitutionType
Indicates that an entity has at least one institution of a specified type located in its nearby geographic vicinity.
-
C.
hasNearbyInstitutionCluster
Indicates that an entity is located close to a concentrated group of related institutions (such as schools, hospitals, or research centers).
-
D.
campusProximity
Indicates that one entity is located near, adjacent to, or within a short distance of a campus associated with the other entity.
-
E.
educationInstitutionNearby
chosen
Indicates that an educational institution is located close to a specified place or 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: April 30, 2026, 11:42 p.m.