Triple
T21548726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moody Air Force Base |
E531701
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
VAD
VAD is the IATA airport code for Moody Air Force Base, a United States Air Force installation near Valdosta, Georgia.
|
E1490531
|
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: VAD | Statement: [Moody Air Force Base, IATACode, VAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VAD Context triple: [Moody Air Force Base, IATACode, VAD]
-
A.
VOCL
VOCL is the ICAO airport code for Calicut International Airport, a major international airport serving Kozhikode in the Indian state of Kerala.
-
B.
VOAD
VOAD is a national coalition of nonprofit, faith-based, and community organizations that coordinate disaster preparedness, response, and recovery efforts in the United States.
-
C.
VOH
VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
-
D.
voco
voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
-
E.
VOT
VOT is the station code used to identify the Volkstheater U-Bahn station in the Vienna public transport network.
- 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: VAD Triple: [Moody Air Force Base, IATACode, VAD]
Generated description
VAD is the IATA airport code for Moody Air Force Base, a United States Air Force installation near Valdosta, Georgia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VAD Target entity description: VAD is the IATA airport code for Moody Air Force Base, a United States Air Force installation near Valdosta, Georgia.
-
A.
VOCL
VOCL is the ICAO airport code for Calicut International Airport, a major international airport serving Kozhikode in the Indian state of Kerala.
-
B.
VOAD
VOAD is a national coalition of nonprofit, faith-based, and community organizations that coordinate disaster preparedness, response, and recovery efforts in the United States.
-
C.
VOH
VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
-
D.
voco
voco is a contemporary upscale hotel brand within the InterContinental Hotels Group portfolio, known for its relaxed style and locally inspired guest experiences.
-
E.
VOT
VOT is the station code used to identify the Volkstheater U-Bahn station in the Vienna public transport network.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb590bb0881908cd849096696db10 |
completed | April 27, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eedf8e888190953f55c2e4f6b021 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09f198f9448190912060dbba608ded |
completed | May 17, 2026, 4:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f22264108190ac07cee73b91befb |
completed | May 17, 2026, 4:51 p.m. |
Created at: April 16, 2026, 6:28 p.m.