Triple
T3346310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Valencia |
E70382
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
UV
UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
|
E350371
|
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: UV | Statement: [University of Valencia, alsoKnownAs, UV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UV Context triple: [University of Valencia, alsoKnownAs, UV]
-
A.
VUV
VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
-
B.
UVES
UVES (Ultraviolet and Visual Echelle Spectrograph) is a high-resolution spectrograph used in optical and ultraviolet astronomy to analyze the light from celestial objects in great detail.
-
C.
Ultraviolet
Ultraviolet is a British television drama series about a covert government unit that hunts vampires using advanced technology.
-
D.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
E.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
- 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: UV Triple: [University of Valencia, alsoKnownAs, UV]
Generated description
UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UV Target entity description: UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
-
A.
VUV
VUV is the ISO 4217 currency code for the Vanuatu vatu, the official monetary unit of Vanuatu.
-
B.
UVES
UVES (Ultraviolet and Visual Echelle Spectrograph) is a high-resolution spectrograph used in optical and ultraviolet astronomy to analyze the light from celestial objects in great detail.
-
C.
Ultraviolet
Ultraviolet is a British television drama series about a covert government unit that hunts vampires using advanced technology.
-
D.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
E.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f4ff888190bf14b9b7fbe9bcee |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32522cbc88190b965087a580d7acf |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325a0de7c8190a33ae611b8450b5a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326862e848190bf1bea74b6ab0b36 |
completed | March 12, 2026, 8:48 p.m. |
Created at: March 8, 2026, 3:12 p.m.