Triple
T23522990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilton Worldwide Holdings Inc. |
E574557
|
entity |
| Predicate | hasStockTicker |
P1447
|
FINISHED |
| Object | HLT |
—
|
NE NERFINISHED |
How this triple was built (2 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: HLT | Statement: [Hilton Worldwide Holdings Inc., hasStockTicker, HLT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLT Context triple: [Hilton Worldwide Holdings Inc., hasStockTicker, HLT]
-
A.
HLT
chosen
HLT is the stock ticker symbol for Hilton Worldwide Holdings Inc., a major global hospitality company operating a wide portfolio of hotel and resort brands.
-
B.
HL
HL is the vehicle registration code used on license plates for the German city of Lübeck.
-
C.
HT
HT is the ISO 3166-1 alpha-2 country code for Haiti.
-
D.
ALT
ALT is the station code for Aluthgama railway station on Sri Lanka’s coastal railway line.
-
E.
ALT
ALT is a keyword in the Occam programming language used to express deterministic selection among multiple guarded input or timeout alternatives in concurrent processes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac70b7888190b4abc4f78bdf539c |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:08 p.m.