Triple
T20318315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sohar Aluminium smelter |
E492139
|
entity |
| Predicate | hasShareholder |
P1553
|
FINISHED |
| Object |
TAQA
TAQA is a major Abu Dhabi-based energy company focused on power generation and water desalination, with investments in utilities and industrial projects across several regions.
|
E1424306
|
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: TAQA | Statement: [Sohar Aluminium smelter, hasShareholder, TAQA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAQA Context triple: [Sohar Aluminium smelter, hasShareholder, TAQA]
-
A.
TAQ
TAQ is the station code for Tasqueña, a major terminal station on Mexico City’s Metro system.
-
B.
TA2
TA2 is a UK postal district within the TA (Taunton) postcode area, covering part of Taunton and its surrounding localities in Somerset, England.
-
C.
TA1
TA1 is a UK postal district within the TA (Taunton) postcode area, covering central Taunton and its immediate surroundings in Somerset, England.
-
D.
TAZ
TAZ is the IATA airport code assigned to Dashoguz International Airport in Turkmenistan.
-
E.
TARCO
TARCO is the airline callsign used by Tarco Aviation, a Sudanese carrier operating regional and international passenger flights.
- 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: TAQA Triple: [Sohar Aluminium smelter, hasShareholder, TAQA]
Generated description
TAQA is a major Abu Dhabi-based energy company focused on power generation and water desalination, with investments in utilities and industrial projects across several regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAQA Target entity description: TAQA is a major Abu Dhabi-based energy company focused on power generation and water desalination, with investments in utilities and industrial projects across several regions.
-
A.
TAQ
TAQ is the station code for Tasqueña, a major terminal station on Mexico City’s Metro system.
-
B.
TA2
TA2 is a UK postal district within the TA (Taunton) postcode area, covering part of Taunton and its surrounding localities in Somerset, England.
-
C.
TA1
TA1 is a UK postal district within the TA (Taunton) postcode area, covering central Taunton and its immediate surroundings in Somerset, England.
-
D.
TAZ
TAZ is the IATA airport code assigned to Dashoguz International Airport in Turkmenistan.
-
E.
TARCO
TARCO is the airline callsign used by Tarco Aviation, a Sudanese carrier operating regional and international passenger flights.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67789d8108190ae2e134f4b0b0be5 |
completed | April 20, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086126c9a08190a6dcb30d118a2730 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086255182881908eeaa49d34bf3ba5 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08635869148190992d75a8806f767c |
completed | May 16, 2026, 12:30 p.m. |
Created at: April 16, 2026, 11:20 a.m.