Triple
T1959675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeromar |
E42352
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
TAO
TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
|
E219285
|
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: TAO | Statement: [Aeromar, ICAOCode, TAO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAO Context triple: [Aeromar, ICAOCode, TAO]
-
A.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
B.
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
C.
TAK
TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
-
D.
Teo-Swa
Teo-Swa is an alternative name for the Teochew language and people, a Southern Min Chinese group originating from the Chaoshan region of eastern Guangdong, China.
-
E.
Tad
Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
- 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: TAO Triple: [Aeromar, ICAOCode, TAO]
Generated description
TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAO Target entity description: TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
-
A.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
B.
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
C.
TAK
TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
-
D.
Teo-Swa
Teo-Swa is an alternative name for the Teochew language and people, a Southern Min Chinese group originating from the Chaoshan region of eastern Guangdong, China.
-
E.
Tad
Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37f737881908130bb828affcaa2 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbcea048819091d705095f0d3f68 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc8efb0c81908bce5a4a13359801 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd8115d481909716e11b943cbf61 |
completed | March 8, 2026, 10:51 p.m. |
Created at: March 4, 2026, 7:36 p.m.