Triple
T23468836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekiti State University Teaching Hospital |
E569169
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
EKSUTH
EKSUTH is a major teaching hospital in Ekiti State, Nigeria, providing clinical services, medical education, and research support as the teaching arm of Ekiti State University.
|
E1589548
|
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: EKSUTH | Statement: [Ekiti State University Teaching Hospital, alsoKnownAs, EKSUTH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EKSUTH Context triple: [Ekiti State University Teaching Hospital, alsoKnownAs, EKSUTH]
-
A.
EKZ
EKZ is the station code for Enkhuizen railway station in the Netherlands.
-
B.
Exxen
Exxen is a Turkish digital streaming platform offering original series, sports broadcasts, and entertainment content.
-
C.
Eksaarde
Eksaarde is a village in East Flanders, Belgium, known for its rural character and connection to the regional railway network.
-
D.
Herxen
Herxen is a small village in the Dutch province of Overijssel, situated within the municipality of Olst-Wijhe.
-
E.
Kennex
Kennex is a surname most notably associated with the fictional detective John Kennex from the science fiction television series "Almost Human."
- 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: EKSUTH Triple: [Ekiti State University Teaching Hospital, alsoKnownAs, EKSUTH]
Generated description
EKSUTH is a major teaching hospital in Ekiti State, Nigeria, providing clinical services, medical education, and research support as the teaching arm of Ekiti State University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EKSUTH Target entity description: EKSUTH is a major teaching hospital in Ekiti State, Nigeria, providing clinical services, medical education, and research support as the teaching arm of Ekiti State University.
-
A.
EKZ
EKZ is the station code for Enkhuizen railway station in the Netherlands.
-
B.
Exxen
Exxen is a Turkish digital streaming platform offering original series, sports broadcasts, and entertainment content.
-
C.
Eksaarde
Eksaarde is a village in East Flanders, Belgium, known for its rural character and connection to the regional railway network.
-
D.
Herxen
Herxen is a small village in the Dutch province of Overijssel, situated within the municipality of Olst-Wijhe.
-
E.
Kennex
Kennex is a surname most notably associated with the fictional detective John Kennex from the science fiction television series "Almost Human."
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8256ede08190a95e0074245e9eff |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6efb0d88190bf15b18cc3f12482 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca80db6288190ae99313c1f2485db |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:54 p.m.