Triple
T21819754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jirapa |
E538693
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Jirapa Hospital
Jirapa Hospital is a major healthcare facility serving the town of Jirapa and surrounding communities in the Upper West Region of Ghana.
|
E1503639
|
NE FINISHED |
How this triple was built (4 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: Jirapa Hospital | Statement: [Jirapa, hasFacility, Jirapa Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jirapa Hospital Context triple: [Jirapa, hasFacility, Jirapa Hospital]
-
A.
Biloela Hospital
Biloela Hospital is a public healthcare facility serving the medical needs of the Biloela community and surrounding areas in Queensland, Australia.
-
B.
Sibu Hospital
Sibu Hospital is a major public healthcare facility serving as the primary referral and medical center for Sibu and the surrounding regions in Sarawak, Malaysia.
-
C.
Labasa Hospital
Labasa Hospital is a major public healthcare facility serving the town of Labasa and the wider northern region of Fiji.
-
D.
Lugazi Hospital
Lugazi Hospital is a medical facility serving the healthcare needs of residents in and around the town of Lugazi in Uganda.
-
E.
Masindi Hospital
Masindi Hospital is a public healthcare facility serving the medical needs of residents in and around Masindi, Uganda.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jirapa Hospital Triple: [Jirapa, hasFacility, Jirapa Hospital]
Generated description
Jirapa Hospital is a major healthcare facility serving the town of Jirapa and surrounding communities in the Upper West Region of Ghana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jirapa Hospital Target entity description: Jirapa Hospital is a major healthcare facility serving the town of Jirapa and surrounding communities in the Upper West Region of Ghana.
-
A.
Biloela Hospital
Biloela Hospital is a public healthcare facility serving the medical needs of the Biloela community and surrounding areas in Queensland, Australia.
-
B.
Sibu Hospital
Sibu Hospital is a major public healthcare facility serving as the primary referral and medical center for Sibu and the surrounding regions in Sarawak, Malaysia.
-
C.
Labasa Hospital
Labasa Hospital is a major public healthcare facility serving the town of Labasa and the wider northern region of Fiji.
-
D.
Lugazi Hospital
Lugazi Hospital is a medical facility serving the healthcare needs of residents in and around the town of Lugazi in Uganda.
-
E.
Masindi Hospital
Masindi Hospital is a public healthcare facility serving the medical needs of residents in and around Masindi, Uganda.
- F. None of above. chosen
Provenance (5 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cce0b8081909e20ded72db40304 |
completed | April 28, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45e136f08190b75f895cbc035db2 |
completed | May 17, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_6a0a46e25f28819099e0464dddb50a11 |
completed | May 17, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a47957ec881909412730af07fff1e |
completed | May 17, 2026, 10:56 p.m. |
Created at: April 16, 2026, 6:54 p.m.