Triple
T14063208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allama Iqbal International Airport |
E338396
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LHE
LHE is the IATA airport code for Allama Iqbal International Airport, the main international gateway serving Lahore, Pakistan.
|
E1077634
|
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: LHE | Statement: [Allama Iqbal International Airport, IATAcode, LHE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LHE Context triple: [Allama Iqbal International Airport, IATAcode, LHE]
-
A.
LHE
LHE is the station code for the Los Héroes transit station in Santiago, Chile.
-
B.
LEP
LEP (Large Electron–Positron Collider) was a major circular particle accelerator at CERN used to study electroweak interactions and precisely measure properties of particles like the Z boson.
-
C.
LHBP
LHBP is the ICAO airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital.
-
D.
LHF
LHF is the governing body responsible for organizing and overseeing ice hockey activities and national teams in Latvia.
-
E.
LHM
LHM is the station code for Lillehammer railway station in Norway.
- 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: LHE Triple: [Allama Iqbal International Airport, IATAcode, LHE]
Generated description
LHE is the IATA airport code for Allama Iqbal International Airport, the main international gateway serving Lahore, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LHE Target entity description: LHE is the IATA airport code for Allama Iqbal International Airport, the main international gateway serving Lahore, Pakistan.
-
A.
LHE
LHE is the station code for the Los Héroes transit station in Santiago, Chile.
-
B.
LEP
LEP (Large Electron–Positron Collider) was a major circular particle accelerator at CERN used to study electroweak interactions and precisely measure properties of particles like the Z boson.
-
C.
LHBP
LHBP is the ICAO airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital.
-
D.
LHF
LHF is the governing body responsible for organizing and overseeing ice hockey activities and national teams in Latvia.
-
E.
LHM
LHM is the station code for Lillehammer railway station in Norway.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6673de881909653c7691422b800 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc3b8aea881909b11a4671314810e |
completed | May 7, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc450fea881909e3b5bbd96469a8b |
completed | May 7, 2026, 4:56 p.m. |
Created at: April 9, 2026, 10:21 p.m.