Triple
T13824144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Traffic Management Bureau |
E332207
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ATMB
ATMB is the abbreviated name commonly used for the Air Traffic Management Bureau, the authority responsible for overseeing and regulating air traffic operations.
|
E1063352
|
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: ATMB | Statement: [Air Traffic Management Bureau, shortName, ATMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATMB Context triple: [Air Traffic Management Bureau, shortName, ATMB]
-
A.
ATMB
ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
-
B.
AMTD
AMTD is the stock ticker symbol for TD Ameritrade, a major U.S.-based online brokerage and financial services firm.
-
C.
AAMB
AAMB is an acronym for the Al-Aqsa Martyrs Brigades, a Palestinian militant organization involved in the Israeli–Palestinian conflict.
-
D.
AMB
AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
-
E.
ATKMB
ATKMB is the commonly used abbreviation for ATK Mohun Bagan FC, a prominent Indian professional football club competing in the Indian Super League.
- 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: ATMB Triple: [Air Traffic Management Bureau, shortName, ATMB]
Generated description
ATMB is the abbreviated name commonly used for the Air Traffic Management Bureau, the authority responsible for overseeing and regulating air traffic operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ATMB Target entity description: ATMB is the abbreviated name commonly used for the Air Traffic Management Bureau, the authority responsible for overseeing and regulating air traffic operations.
-
A.
ATMB
ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
-
B.
AMTD
AMTD is the stock ticker symbol for TD Ameritrade, a major U.S.-based online brokerage and financial services firm.
-
C.
AAMB
AAMB is an acronym for the Al-Aqsa Martyrs Brigades, a Palestinian militant organization involved in the Israeli–Palestinian conflict.
-
D.
AMB
AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
-
E.
ATKMB
ATKMB is the commonly used abbreviation for ATK Mohun Bagan FC, a prominent Indian professional football club competing in the Indian Super League.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e85c6c81908bdf5d43b917d151 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d81f488190875e9b3f885556ab |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:13 p.m.