Triple
T18562877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongying Shengli Airport |
E453688
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
ZSDY
ZSDY is the ICAO airport code for Dongying Shengli Airport in Shandong Province, China.
|
E1330987
|
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: ZSDY | Statement: [Dongying Shengli Airport, hasICAOcode, ZSDY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZSDY Context triple: [Dongying Shengli Airport, hasICAOcode, ZSDY]
-
A.
ZSYT
ZSYT is the ICAO airport code for Yantai Penglai International Airport in Shandong Province, China.
-
B.
ZDJ
ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
-
C.
ZDS
ZDS is the vehicle registration code assigned to the Philippine province of Zamboanga del Sur.
-
D.
SZDSZ
SZDSZ was a Hungarian liberal political party formally known as the Alliance of Free Democrats, influential in the country’s post-communist transition.
-
E.
ZDH
ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
- 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: ZSDY Triple: [Dongying Shengli Airport, hasICAOcode, ZSDY]
Generated description
ZSDY is the ICAO airport code for Dongying Shengli Airport in Shandong Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZSDY Target entity description: ZSDY is the ICAO airport code for Dongying Shengli Airport in Shandong Province, China.
-
A.
ZSYT
ZSYT is the ICAO airport code for Yantai Penglai International Airport in Shandong Province, China.
-
B.
ZDJ
ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
-
C.
ZDS
ZDS is the vehicle registration code assigned to the Philippine province of Zamboanga del Sur.
-
D.
SZDSZ
SZDSZ was a Hungarian liberal political party formally known as the Alliance of Free Democrats, influential in the country’s post-communist transition.
-
E.
ZDH
ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afb4f088190adf0b2b64057a210 |
completed | April 19, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ae7faa48190954e42f20eeebbf0 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049c461c288190955ac8cdaefc055d |
completed | May 13, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cbbc0288190be82f11e660b7dff |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:42 a.m.