Triple
T1732567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Al |
E37845
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LY
LY is the IATA airline designator for El Al, the flag carrier of Israel.
|
E193223
|
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: LY | Statement: [El Al, IATAcode, LY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LY Context triple: [El Al, IATAcode, LY]
-
A.
LYD
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
-
B.
Lu
Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
-
C.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
D.
LK
LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
-
E.
L
L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
- 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: LY Triple: [El Al, IATAcode, LY]
Generated description
LY is the IATA airline designator for El Al, the flag carrier of Israel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LY Target entity description: LY is the IATA airline designator for El Al, the flag carrier of Israel.
-
A.
LYD
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
-
B.
Lu
Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
-
C.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
D.
LK
LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
-
E.
L
L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa639edaf88190b64b2f630a53f67c |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8afd15a881909a5d55dd960799d1 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad957e9a6c81909d52bf2def797526 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b6c03881909f278594e800c0f5 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.