Triple
T24034372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidon area refugee camps |
E595189
|
entity |
| Predicate | healthcareProvidedBy |
P40116
|
FINISHED |
| Object | UNRWA clinics |
—
|
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: UNRWA clinics | Statement: [Sidon area refugee camps, healthcareProvidedBy, UNRWA clinics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthcareProvidedBy Context triple: [Sidon area refugee camps, healthcareProvidedBy, UNRWA clinics]
-
A.
hasHealthcareProvider
chosen
Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
-
B.
hasHealthcareServicesIn
Indicates that a healthcare provider or organization offers or operates healthcare services within a specified location or area.
-
C.
healthcareType
Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
-
D.
healthServiceProvider
Indicates that one entity provides health-related services or care to another entity.
-
E.
healthSystem
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d273d88190b0762f1ee317d811 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:56 p.m.